From a7a8c142abdc9dffa55e1c8ca07ee21d717d8c8b Mon Sep 17 00:00:00 2001 From: Debbie Matthews Date: Wed, 23 Aug 2023 02:23:13 -0700 Subject: [PATCH 1/5] Add documentation for `st.status` (#783) * Create st.status page * Update API cards & docstrings * Update st.status API card summary * Add st.status to chat elements in API index --- content/library/api/api-reference.md | 28 + content/library/api/chat/chat.md | 16 +- content/library/api/status/index.md | 216 + content/library/api/status/status.md | 203 +- content/menu.md | 3 + public/images/api/progress.jpg | Bin 5252 -> 60875 bytes public/images/api/spinner.jpg | Bin 50128 -> 44152 bytes public/images/api/status.jpg | Bin 0 -> 61247 bytes python/streamlit.json | 12037 +++++++++++++++++++++++++ 9 files changed, 12304 insertions(+), 199 deletions(-) create mode 100644 content/library/api/status/index.md create mode 100644 public/images/api/status.jpg diff --git a/content/library/api/api-reference.md b/content/library/api/api-reference.md index 13a9e382b..53a0621b4 100644 --- a/content/library/api/api-reference.md +++ b/content/library/api/api-reference.md @@ -1424,6 +1424,20 @@ if prompt: st.write(f"The user has sent: {prompt}") ``` + + + +screenshot + +#### Status container + +Display output of long-running tasks in a container. + +```python +with st.status('Running'): + do_something_slow() +``` + @@ -1458,6 +1472,20 @@ with st.spinner("Please wait..."): do_something_slow() ``` + + + +screenshot + +#### Status container + +Display output of long-running tasks in a container. + +```python +with st.status('Running'): + do_something_slow() +``` + diff --git a/content/library/api/chat/chat.md b/content/library/api/chat/chat.md index 1783a01b0..24719f1d1 100644 --- a/content/library/api/chat/chat.md +++ b/content/library/api/chat/chat.md @@ -7,7 +7,7 @@ slug: /library/api-reference/chat Streamlit provides a few commands to help you build conversational apps. These chat elements are designed to be used in conjunction with each other, but you can also use them separately. -`st.chat_message` lets you insert a chat message container into the app so you can display messages from the user or the app. Chat containers can contain other Streamlit elements, including charts, tables, text, and more. `st.chat_input` lets you display a chat input widget so the user can type in a message. +`st.chat_message` lets you insert a chat message container into the app so you can display messages from the user or the app. Chat containers can contain other Streamlit elements, including charts, tables, text, and more. `st.chat_input` lets you display a chat input widget so the user can type in a message. Remeber to check out `st.status` to display output from long-running processes and external API calls. @@ -40,5 +40,19 @@ if prompt: st.write(f"The user has sent: {prompt}") ``` + + + +screenshot + +#### Status container + +Display output of long-running tasks in a container. + +```python +with st.status('Running'): + do_something_slow() +``` + diff --git a/content/library/api/status/index.md b/content/library/api/status/index.md new file mode 100644 index 000000000..0faebfddf --- /dev/null +++ b/content/library/api/status/index.md @@ -0,0 +1,216 @@ +--- +title: Display progress and status +slug: /library/api-reference/status +--- + +# Display progress and status + +Streamlit provides a few methods that allow you to add animation to your +apps. These animations include progress bars, status messages (like +warnings), and celebratory balloons. + + + + +screenshot + +#### Progress bar + +Display a progress bar. + +```python +for i in range(101): + st.progress(i) + do_something_slow() +``` + + + + +screenshot + +#### Spinner + +Temporarily displays a message while executing a block of code. + +```python +with st.spinner("Please wait..."): + do_something_slow() +``` + + + + +screenshot + +#### Status container + +Display output of long-running tasks in a container. + +```python +with st.status('Running'): + do_something_slow() +``` + + + + +screenshot + +#### Toast + +Briefly displays a toast message in the bottom-right corner. + +```python +st.toast('Butter!', icon='🧈') +``` + + + + +screenshot + +#### Balloons + +Display celebratory balloons! + +```python +st.balloons() +``` + + + + +screenshot + +#### Snowflakes + +Display celebratory snowflakes! + +```python +st.snow() +``` + + + + +screenshot + +#### Error box + +Display error message. + +```python +st.error("We encountered an error") +``` + + + + +screenshot + +#### Warning box + +Display warning message. + +```python +st.warning("Unable to fetch image. Skipping...") +``` + + + + +screenshot + +#### Info box + +Display an informational message. + +```python +st.info("Dataset is updated every day at midnight.") +``` + + + + +screenshot + +#### Success box + +Display a success message. + +```python +st.success("Match found!") +``` + + + + +screenshot + +#### Exception output + +Display an exception. + +```python +e = RuntimeError("This is an exception of type RuntimeError") +st.exception(e) +``` + + + + + + + + +screenshot + +#### Stqdm + +The simplest way to handle a progress bar in streamlit app. Created by [@Wirg](https://github.com/Wirg). + +```python +from stqdm import stqdm + +for _ in stqdm(range(50)): + sleep(0.5) +``` + + + + + +screenshot + +#### Custom notification box + +A custom notification box with the ability to close it out. Created by [@Socvest](https://github.com/Socvest). + +```python +from streamlit_custom_notification_box import custom_notification_box + +styles = {'material-icons':{'color': 'red'}, 'text-icon-link-close-container': {'box-shadow': '#3896de 0px 4px'}, 'notification-text': {'':''}, 'close-button':{'':''}, 'link':{'':''}} +custom_notification_box(icon='info', textDisplay='We are almost done with your registration...', externalLink='more info', url='#', styles=styles, key="foo") +``` + + + + + +screenshot + +#### Streamlit Extras + +A library with useful Streamlit extras. Created by [@arnaudmiribel](https://github.com/arnaudmiribel/). + +```python +from streamlit_extras.let_it_rain import rain + +rain(emoji="🎈", font_size=54, + falling_speed=5, animation_length="infinite",) +``` + + + + diff --git a/content/library/api/status/status.md b/content/library/api/status/status.md index 0661a19a8..d134bb308 100644 --- a/content/library/api/status/status.md +++ b/content/library/api/status/status.md @@ -1,202 +1,9 @@ --- -title: Display progress and status -slug: /library/api-reference/status +title: st.status +slug: /library/api-reference/status/st.status +description: st.status inserts a mutable expander element --- -# Display progress and status + -Streamlit provides a few methods that allow you to add animation to your -apps. These animations include progress bars, status messages (like -warnings), and celebratory balloons. - - - - -screenshot - -#### Progress bar - -Display a progress bar. - -```python -for i in range(101): - st.progress(i) - do_something_slow() -``` - - - - -screenshot - -#### Spinner - -Temporarily displays a message while executing a block of code. - -```python -with st.spinner("Please wait..."): - do_something_slow() -``` - - - - -screenshot - -#### Toast - -Briefly displays a toast message in the bottom-right corner. - -```python -st.toast('Butter!', icon='🧈') -``` - - - - -screenshot - -#### Balloons - -Display celebratory balloons! - -```python -st.balloons() -``` - - - - -screenshot - -#### Snowflakes - -Display celebratory snowflakes! - -```python -st.snow() -``` - - - - -screenshot - -#### Error box - -Display error message. - -```python -st.error("We encountered an error") -``` - - - - -screenshot - -#### Warning box - -Display warning message. - -```python -st.warning("Unable to fetch image. Skipping...") -``` - - - - -screenshot - -#### Info box - -Display an informational message. - -```python -st.info("Dataset is updated every day at midnight.") -``` - - - - -screenshot - -#### Success box - -Display a success message. - -```python -st.success("Match found!") -``` - - - - -screenshot - -#### Exception output - -Display an exception. - -```python -e = RuntimeError("This is an exception of type RuntimeError") -st.exception(e) -``` - - - - - - - - -screenshot - -#### Stqdm - -The simplest way to handle a progress bar in streamlit app. Created by [@Wirg](https://github.com/Wirg). - -```python -from stqdm import stqdm - -for _ in stqdm(range(50)): - sleep(0.5) -``` - - - - - -screenshot - -#### Custom notification box - -A custom notification box with the ability to close it out. Created by [@Socvest](https://github.com/Socvest). - -```python -from streamlit_custom_notification_box import custom_notification_box - -styles = {'material-icons':{'color': 'red'}, 'text-icon-link-close-container': {'box-shadow': '#3896de 0px 4px'}, 'notification-text': {'':''}, 'close-button':{'':''}, 'link':{'':''}} -custom_notification_box(icon='info', textDisplay='We are almost done with your registration...', externalLink='more info', url='#', styles=styles, key="foo") -``` - - - - - -screenshot - -#### Streamlit Extras - -A library with useful Streamlit extras. Created by [@arnaudmiribel](https://github.com/arnaudmiribel/). - -```python -from streamlit_extras.let_it_rain import rain - -rain(emoji="🎈", font_size=54, - falling_speed=5, animation_length="infinite",) -``` - - - - + diff --git a/content/menu.md b/content/menu.md index f9cc7fda6..4e13273ed 100644 --- a/content/menu.md +++ b/content/menu.md @@ -252,6 +252,9 @@ site_menu: - category: Streamlit library / API reference / Status elements / st.spinner url: /library/api-reference/status/st.spinner isVersioned: true + - category: Streamlit library / API reference / Status elements / st.status + url: /library/api-reference/status/st.status + isVersioned: true - category: Streamlit library / API reference / Status elements / st.toast url: /library/api-reference/status/st.toast isVersioned: true diff --git a/public/images/api/progress.jpg b/public/images/api/progress.jpg index 4a0b4c478718a460512b5e6ccdf11e828213755f..b8f8055da63a482c66eeedcb696266c5edd2943b 100644 GIT binary patch literal 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zW~1^uiX~C{@XQYck-~?l+h5wD|Cx&J|FlZii{S|~nwZUFdxX8L)3mP`ImsG(SaY-R~pM3g#xQpk1wq(B<}>65}A-DqSRv>gUH%0O+q zW6LLn*2(=~#$>Pw{IztAl2o4nuIt{W6GrB;2~!BIv}yczi)9+DB*KgXYf93NoL`r6 zc%HQkI3Z=sGuDD0cRuzlTzczJo|GG}00Mie0P|4;CuPpSWcIloGF<(Sgr^>2Gg;Ce z872zEyPHpd!u=lJ??}G!=bFVqkj|Jf7K2LBLmDAdbQ&&Su6%dp!XQ^Qxn=kdw7b+K z$`tkK-J4m9TZ9jkJ5Z%Y-ifEJuJ7IVcjN9(P>pPDI#w!tVBhN4zDEf>Uh--kRdg&r z{3y6QBqGV@((LT7$tNm_IYhVa8t-5Ut3z=V++2b@6^*vrz@X3^me#GvPTl%LlI`L3 zf!RwB9$)mM#iD%Ww_l8PJHQ3SEYNB3C(h6>b>M#ie9NDHb4A3$|0WFlX5sWdz#)8{ z?|tT)PMaoE3wO2s9b)vCh#3FrMJOPtpnYj9O8x&0UHa3}{$~oLeAVBoM?fwba;;L3 zZ-IOZ\n

\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n", + "description": "

Display a chart using the Altair library.

\n", + "args": [ + { + "name": "altair_chart", + "type_name": "altair.Chart", + "is_optional": false, + "description": "

The Altair chart object to display.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", + "default": null + }, + { + "name": "theme", + "type_name": "\"streamlit\" or None", + "is_optional": false, + "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", + "default": "behavior" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L766" + }, + "streamlit.area_chart": { + "name": "area_chart", + "signature": "st.area_chart(data=None, *, x=None, y=None, color=None, width=0, height=0, use_container_width=True)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns = ['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n

You can also choose different columns to use for x and y, as well as set\nthe color dynamically based on a 3rd column (assuming your dataframe is in\nlong format):

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame({\n    'col1' : np.random.randn(20),\n    'col2' : np.random.randn(20),\n    'col3' : np.random.choice(['A', 'B', 'C'], 20)\n})\n\nst.area_chart(\n    chart_data,\n    x = 'col1',\n    y = 'col2',\n    color = 'col3'\n)\n
\n\n \n

Finally, if your dataframe is in wide format, you can group multiple\ncolumns under the y argument to show multiple series with different\ncolors:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['col1', 'col2', 'col3'])\n\nst.area_chart(\n    chart_data,\n    x='col1',\n    y=['col2', 'col3'],\n    color=['#FF0000','#0000FF']  # Optional\n)\n
\n\n \n
\n", + "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", + "is_optional": false, + "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "x", + "type_name": "str or None", + "is_optional": false, + "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "y", + "type_name": "str, sequence of str, or None", + "is_optional": false, + "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str, tuple, sequence of str, sequence of tuple, or None", + "is_optional": false, + "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For an area chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", + "default": "color" + }, + { + "name": "width", + "type_name": "int", + "is_optional": false, + "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int", + "is_optional": false, + "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L409" + }, + "streamlit.audio": { + "name": "audio", + "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", + "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", + "description": "

Display an audio player.

\n", + "args": [ + { + "name": "data", + "type_name": "str, bytes, BytesIO, numpy.ndarray, or file", + "is_optional": false, + "description": "

Raw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", + "default": "channel" + }, + { + "name": "format", + "type_name": "str", + "is_optional": false, + "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", + "default": "s" + }, + { + "name": "start_time", + "type_name": "int", + "is_optional": false, + "description": "

The time from which this element should start playing.

\n", + "default": null + }, + { + "name": "sample_rate", + "type_name": "int or None", + "is_optional": false, + "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/media.py#L42" + }, + "streamlit.balloons": { + "name": "balloons", + "signature": "st.balloons()", + "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", + "description": "

Draw celebratory balloons.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/balloons.py#L25" + }, + "streamlit.bar_chart": { + "name": "bar_chart", + "signature": "st.bar_chart(data=None, *, x=None, y=None, color=None, width=0, height=0, use_container_width=True)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n

You can also choose different columns to use for x and y, as well as set\nthe color dynamically based on a 3rd column (assuming your dataframe is in\nlong format):

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame({\n    'col1' : np.random.randn(20),\n    'col2' : np.random.randn(20),\n    'col3' : np.random.choice(['A','B','C'],20)\n})\n\nst.bar_chart(\n    chart_data,\n    x='col1',\n    y='col2',\n    color='col3'\n)\n
\n\n \n

Finally, if your dataframe is in wide format, you can group multiple\ncolumns under the y argument to show multiple series with different\ncolors:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['col1', 'col2', 'col3'])\n\nst.bar_chart(\n    chart_data,\n    x='col1',\n    y=['col2', 'col3'],\n    color=['#FF0000','#0000FF']  # Optional\n)\n
\n\n \n
\n", + "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", + "is_optional": false, + "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "x", + "type_name": "str or None", + "is_optional": false, + "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "y", + "type_name": "str, sequence of str, or None", + "is_optional": false, + "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str, tuple, sequence of str, sequence of tuple, or None", + "is_optional": false, + "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For a bar chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", + "default": "color" + }, + { + "name": "width", + "type_name": "int", + "is_optional": false, + "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int", + "is_optional": false, + "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L587" + }, + "streamlit.bokeh_chart": { + "name": "bokeh_chart", + "signature": "st.bokeh_chart(figure, use_container_width=False)", + "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", + "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", + "args": [ + { + "name": "figure", + "type_name": "bokeh.plotting.figure.Figure", + "is_optional": false, + "description": "

A Bokeh figure to plot.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/bokeh_chart.py#L36" + }, + "streamlit.button": { + "name": "button", + "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", + "example": "
\n
\nimport streamlit as st\n\nst.button("Reset", type="primary")\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", + "description": "

Display a button widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", + "default": null + }, + { + "name": "on_click", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this button is clicked.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"secondary\" or \"primary\"", + "is_optional": false, + "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/button.py#L61" + }, + "streamlit.cache": { + "name": "cache", + "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", + "example": "
\n
\nimport streamlit as st\n\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", + "description": "

Function decorator to memoize function executions.

\n", + "args": [ + { + "name": "func", + "type_name": "callable", + "is_optional": false, + "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", + "default": null + }, + { + "name": "persist", + "type_name": "boolean", + "is_optional": false, + "description": "

Whether to persist the cache on disk.

\n", + "default": null + }, + { + "name": "allow_output_mutation", + "type_name": "boolean", + "is_optional": false, + "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", + "default": null + }, + { + "name": "show_spinner", + "type_name": "boolean", + "is_optional": false, + "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", + "default": "True" + }, + { + "name": "suppress_st_warning", + "type_name": "boolean", + "is_optional": false, + "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", + "default": null + }, + { + "name": "hash_funcs", + "type_name": "dict or None", + "is_optional": false, + "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", + "default": null + }, + { + "name": "max_entries", + "type_name": "int or None", + "is_optional": false, + "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", + "default": "None" + }, + { + "name": "ttl", + "type_name": "float or None", + "is_optional": false, + "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/runtime/legacy_caching/caching.py#L486" + }, + "streamlit.cache_data": { + "name": "cache_data", + "signature": "st.cache_data(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets, hash_funcs=None)", + "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. datetime.datetime) to a hash\nfunction (lambda dt: dt.isoformat()) like this:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={datetime.datetime: lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "datetime.datetime") to the hash function instead:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={"datetime.datetime": lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n
\n", + "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", + "args": [ + { + "name": "func", + "type_name": "callable", + "is_optional": false, + "description": "

The function to cache. Streamlit hashes the function's source code.

\n", + "default": null + }, + { + "name": "ttl", + "type_name": "float, timedelta, str, or None", + "is_optional": false, + "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", + "default": null + }, + { + "name": "max_entries", + "type_name": "int or None", + "is_optional": false, + "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", + "default": "None" + }, + { + "name": "show_spinner", + "type_name": "boolean or string", + "is_optional": false, + "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", + "default": "True" + }, + { + "name": "persist", + "type_name": "\"disk\", boolean, or None", + "is_optional": false, + "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", + "default": "None" + }, + { + "name": "experimental_allow_widgets", + "type_name": "boolean", + "is_optional": false, + "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", + "default": "False" + }, + { + "name": "hash_funcs", + "type_name": "dict or None", + "is_optional": false, + "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/runtime/caching/cache_data_api.py#L384" + }, + "streamlit.cache_resource": { + "name": "cache_resource", + "signature": "st.cache_resource(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets, hash_funcs=None)", + "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. Person) to a hash\nfunction (str) like this:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={Person: str})\ndef get_person_name(person: Person):\n    return person.name\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "__main__.Person") to the hash function instead:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={"__main__.Person": str})\ndef get_person_name(person: Person):\n    return person.name\n
\n
\n", + "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", + "args": [ + { + "name": "func", + "type_name": "callable", + "is_optional": false, + "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", + "default": null + }, + { + "name": "ttl", + "type_name": "float, timedelta, str, or None", + "is_optional": false, + "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", + "default": null + }, + { + "name": "max_entries", + "type_name": "int or None", + "is_optional": false, + "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", + "default": "None" + }, + { + "name": "show_spinner", + "type_name": "boolean or string", + "is_optional": false, + "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", + "default": "True" + }, + { + "name": "validate", + "type_name": "callable or None", + "is_optional": false, + "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", + "default": null + }, + { + "name": "experimental_allow_widgets", + "type_name": "boolean", + "is_optional": false, + "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", + "default": "False" + }, + { + "name": "hash_funcs", + "type_name": "dict or None", + "is_optional": false, + "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/runtime/caching/cache_resource_api.py#L264" + }, + "streamlit.camera_input": { + "name": "camera_input", + "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", + "description": "

Display a widget that returns pictures from the user's webcam.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

A tooltip that gets displayed next to the camera input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "None or UploadedFile", + "is_generator": false, + "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/camera_input.py#L78" + }, + "streamlit.caption": { + "name": "caption", + "signature": "st.caption(body, unsafe_allow_html=False, *, help=None)", + "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", + "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "unsafe_allow_html", + "type_name": "bool", + "is_optional": false, + "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the caption.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L146" + }, + "streamlit.chat_input": { + "name": "chat_input", + "signature": "st.chat_input(placeholder=\"Your message\", *, key=None, max_chars=None, disabled=False, on_submit=None, args=None, kwargs=None)", + "examples": "
\n
\nimport streamlit as st\n\nprompt = st.chat_input("Say something")\nif prompt:\n    st.write(f"User has sent the following prompt: {prompt}")\n
\n\n \n
\n", + "description": "

Display a chat input widget.

\n
\n

Warning

\n

Chat input can only be used once per app page and inside the main area of the app.\nIt cannot be used in the sidebar, columns, expanders, forms or tabs.\nWe plan to support this in the future.

\n
\n", + "args": [ + { + "name": "placeholder", + "type_name": "str", + "is_optional": false, + "description": "

A placeholder text shown when the chat input is empty. Defaults to\n"Your message". For accessibility reasons, you should not use an\nempty string.

\n", + "default": "s" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget based on\nits content. Multiple widgets of the same type may not share the same key.

\n", + "default": null + }, + { + "name": "max_chars", + "type_name": "int or None", + "is_optional": false, + "description": "

The maximum number of characters that can be entered. If None\n(default), there will be no maximum.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

Whether the chat input should be disabled. Defaults to False.

\n", + "default": "False" + }, + { + "name": "on_submit", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when the chat input's value is submitted.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "str or None", + "is_generator": false, + "description": "

The current (non-empty) value of the text input widget on the last\nrun of the app, None otherwise.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/chat.py#L214" + }, + "streamlit.chat_message": { + "name": "chat_message", + "signature": "st.chat_message(name, *, avatar=None)", + "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\nimport numpy as np\n\nwith st.chat_message("user"):\n    st.write("Hello \ud83d\udc4b")\n    st.line_chart(np.random.randn(30, 3))\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\nmessage = st.chat_message("assistant")\nmessage.write("Hello human")\nmessage.bar_chart(np.random.randn(30, 3))\n
\n\n \n
\n", + "description": "

Insert a chat message container.

\n

To add elements to the returned container, you can use with notation\n(preferred) or just call methods directly on the returned object. See the\nexamples below.

\n", + "args": [ + { + "name": "name", + "type_name": "\"user\", \"assistant\", \"ai\", \"human\", or str", + "is_optional": false, + "description": "

The name of the message author. Can be "human"/"user" or\n"ai"/"assistant" to enable preset styling and avatars.

\n

Currently, the name is not shown in the UI but is only set as an\naccessibility label. For accessibility reasons, you should not use\nan empty string.

\n", + "default": null + }, + { + "name": "avatar", + "type_name": "str, numpy.ndarray, or BytesIO", + "is_optional": false, + "description": "

The avatar shown next to the message. Can be one of:

\n
    \n
  • A single emoji, e.g. "\ud83e\uddd1\u200d\ud83d\udcbb", "\ud83e\udd16", "\ud83e\udd96". Shortcodes are not supported.
    • \n
  • \n
    An image using one of the formats allowed for st.image: path of a local
    \n
    image file; URL to fetch the image from; array of shape (w,h) or (w,h,1)\nfor a monochrome image, (w,h,3) for a color image, or (w,h,4) for an RGBA image.
    \n
    \n
    • \n
\n

If None (default), uses default icons if name is "user",\n"assistant", "ai", "human" or the first letter of the name value.

\n", + "default": "icons" + } + ], + "returns": [ + { + "type_name": "Container", + "is_generator": false, + "description": "

A single container that can hold multiple elements.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/chat.py#L121" + }, + "streamlit.checkbox": { + "name": "checkbox", + "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", + "description": "

Display a checkbox widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "bool", + "is_optional": false, + "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this checkbox's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

Whether or not the checkbox is checked.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/checkbox.py#L53" + }, + "streamlit.code": { + "name": "code", + "signature": "st.code(body, language=\"python\", line_numbers=False)", + "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", + "description": "

Display a code block with optional syntax highlighting.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display as code.

\n", + "default": null + }, + { + "name": "language", + "type_name": "str or None", + "is_optional": false, + "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", + "default": "s" + }, + { + "name": "line_numbers", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", + "default": "s" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/code.py#L27" + }, + "streamlit.color_picker": { + "name": "color_picker", + "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", + "description": "

Display a color picker widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "str", + "is_optional": false, + "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", + "default": "black" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the color picker.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "str", + "is_generator": false, + "description": "

The selected color as a hex string.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/color_picker.py#L53" + }, + "streamlit.columns": { + "name": "columns", + "signature": "st.columns(spec, *, gap=\"small\")", + "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", + "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", + "args": [ + { + "name": "spec", + "type_name": "int or iterable of numbers", + "is_optional": false, + "description": "

Controls the number and width of columns to insert. Can be one of:

\n
    \n
  • An integer that specifies the number of columns. All columns have equal\nwidth in this case.
    • \n
  • An iterable of numbers (int or float) that specify the relative width of\neach column. E.g. [0.7, 0.3] creates two columns where the first\none takes up 70% of the available with and the second one takes up 30%.\nOr [1, 2, 3] creates three columns where the second one is two times\nthe width of the first one, and the third one is three times that width.
    • \n
\n", + "default": null + }, + { + "name": "gap", + "type_name": "\"small\", \"medium\", or \"large\"", + "is_optional": false, + "description": "

The size of the gap between the columns. Defaults to "small". This\nargument can only be supplied by keyword.

\n", + "default": "s" + } + ], + "returns": [ + { + "type_name": "list of containers", + "is_generator": false, + "description": "

A list of container objects.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L79" + }, + "streamlit.container": { + "name": "container", + "signature": "st.container()", + "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", + "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L31" + }, + "streamlit.data_editor": { + "name": "data_editor", + "signature": "st.data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", + "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", + "is_optional": false, + "description": "

The data to edit in the data editor.

\n
\n

Note

\n
    \n
  • Styles from pandas.Styler will only be applied to non-editable columns.
    • \n
  • Mixing data types within a column can make the column uneditable.
    • \n
  • Additionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.
    • \n
\n
\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", + "default": "False" + }, + { + "name": "hide_index", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", + "default": null + }, + { + "name": "column_order", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", + "default": null + }, + { + "name": "column_config", + "type_name": "dict or None", + "is_optional": false, + "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", + "default": null + }, + { + "name": "num_rows", + "type_name": "\"fixed\" or \"dynamic\"", + "is_optional": false, + "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool or iterable of str", + "is_optional": false, + "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str", + "is_optional": false, + "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this data_editor's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", + "is_generator": false, + "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/data_editor.py#L529" + }, + "streamlit.dataframe": { + "name": "dataframe", + "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False, hide_index=None, column_order=None, column_config=None)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n

Or you can customize the dataframe via column_config, hide_index, or column_order:

\n
\nimport random\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    {\n        "name": ["Roadmap", "Extras", "Issues"],\n        "url": ["https://roadmap.streamlit.app", "https://extras.streamlit.app", "https://issues.streamlit.app"],\n        "stars": [random.randint(0, 1000) for _ in range(3)],\n        "views_history": [[random.randint(0, 5000) for _ in range(30)] for _ in range(3)],\n    }\n)\nst.dataframe(\n    df,\n    column_config={\n        "name": "App name",\n        "stars": st.column_config.NumberColumn(\n            "Github Stars",\n            help="Number of stars on GitHub",\n            format="%d \u2b50",\n        ),\n        "url": st.column_config.LinkColumn("App URL"),\n        "views_history": st.column_config.LineChartColumn(\n            "Views (past 30 days)", y_min=0, y_max=5000\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Display a dataframe as an interactive table.

\n

This command works with dataframes from Pandas, PyArrow, Snowpark, and PySpark.\nIt can also display several other types that can be converted to dataframes,\ne.g. numpy arrays, lists, sets and dictionaries.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", + "is_optional": false, + "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.

\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", + "default": "height" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "hide_index", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", + "default": null + }, + { + "name": "column_order", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", + "default": null + }, + { + "name": "column_config", + "type_name": "dict or None", + "is_optional": false, + "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat. This needs to be a dictionary where each key is a column name and\nthe value is one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L44" + }, + "streamlit.date_input": { + "name": "date_input", + "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, format=\"YYYY/MM/DD\", disabled=False, label_visibility=\"visible\")", + "examples": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input("When's your birthday", datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n 
\nimport datetime\nimport streamlit as st\n\ntoday = datetime.datetime.now()\nnext_year = today.year + 1\njan_1 = datetime.date(next_year, 1, 1)\ndec_31 = datetime.date(next_year, 12, 31)\n\nd = st.date_input(\n    "Select your vacation for next year",\n    (jan_1, datetime.date(next_year, 1, 7)),\n    jan_1,\n    dec_31,\n    format="MM.DD.YYYY",\n)\nd\n
\n\n \n
\n", + "description": "

Display a date input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", + "is_optional": false, + "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", + "default": "today" + }, + { + "name": "min_value", + "type_name": "datetime.date or datetime.datetime", + "is_optional": false, + "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", + "default": "value" + }, + { + "name": "max_value", + "type_name": "datetime.date or datetime.datetime", + "is_optional": false, + "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", + "default": "value" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this date_input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "format", + "type_name": "str", + "is_optional": false, + "description": "

A format string controlling how the interface should display dates.\nSupports \u201cYYYY/MM/DD\u201d (default), \u201cDD/MM/YYYY\u201d, or \u201cMM/DD/YYYY\u201d.\nYou may also use a period (.) or hyphen (-) as separators.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "datetime.date or a tuple with 0-2 dates", + "is_generator": false, + "description": "

The current value of the date input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/time_widgets.py#L415" + }, + "streamlit.divider": { + "name": "divider", + "signature": "st.divider()", + "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", + "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L258" + }, + "streamlit.download_button": { + "name": "download_button", + "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", + "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", + "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "data", + "type_name": "str or bytes or file", + "is_optional": false, + "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", + "default": null + }, + { + "name": "file_name", + "type_name": "str", + "is_optional": false, + "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", + "default": null + }, + { + "name": "mime", + "type_name": "str or None", + "is_optional": false, + "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", + "default": "s" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", + "default": null + }, + { + "name": "on_click", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this button is clicked.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"secondary\" or \"primary\"", + "is_optional": false, + "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/button.py#L170" + }, + "streamlit.echo": { + "name": "echo", + "signature": "st.echo(code_location=\"above\")", + "example": "
\n
\nimport streamlit as st\n\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", + "description": "

Use in a with block to draw some code on the app, then execute it.

\n", + "args": [ + { + "name": "code_location", + "type_name": "\"above\" or \"below\"", + "is_optional": false, + "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/echo.py#L28" + }, + "streamlit.empty": { + "name": "empty", + "signature": "st.empty()", + "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", + "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/empty.py#L24" + }, + "streamlit.error": { + "name": "error", + "signature": "st.error(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", + "description": "

Display error message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The error text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L27" + }, + "streamlit.exception": { + "name": "exception", + "signature": "st.exception(exception)", + "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", + "description": "

Display an exception.

\n", + "args": [ + { + "name": "exception", + "type_name": "Exception", + "is_optional": false, + "description": "

The exception to display.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/exception.py#L50" + }, + "streamlit.expander": { + "name": "expander", + "signature": "st.expander(label, expanded=False)", + "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", + "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "expanded", + "type_name": "bool", + "is_optional": false, + "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", + "default": "s" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L319" + }, + "streamlit.experimental_connection": { + "name": "experimental_connection", + "signature": "st.experimental_connection(name, type=None, max_entries=None, ttl=None, **kwargs)", + "examples": "
\n

The easiest way to create a first-party (SQL or Snowpark) connection is to use their\ndefault names and define corresponding sections in your secrets.toml file.

\n
\nimport streamlit as st\nconn = st.experimental_connection("sql") # Config section defined in [connections.sql] in secrets.toml.\n
\n

Creating a SQLConnection with a custom name requires you to explicitly specify the\ntype. If type is not passed as a kwarg, it must be set in the appropriate section of\nsecrets.toml.

\n
\nimport streamlit as st\nconn1 = st.experimental_connection("my_sql_connection", type="sql") # Config section defined in [connections.my_sql_connection].\nconn2 = st.experimental_connection("my_other_sql_connection") # type must be set in [connections.my_other_sql_connection].\n
\n

Passing the full module path to the connection class that you want to use can be\nuseful, especially when working with a custom connection:

\n
\nimport streamlit as st\nconn = st.experimental_connection("my_sql_connection", type="streamlit.connections.SQLConnection")\n
\n

Finally, you can pass the connection class to use directly to this function. Doing\nso allows static type checking tools such as mypy to infer the exact return\ntype of st.experimental_connection.

\n
\nimport streamlit as st\nfrom streamlit.connections import SQLConnection\nconn = st.experimental_connection("my_sql_connection", type=SQLConnection)\n
\n
\n", + "description": "

Create a new connection to a data store or API, or return an existing one.

\n

Config options, credentials, secrets, etc. for connections are taken from various\nsources:

\n
    \n
  • Any connection-specific configuration files.
    • \n
  • An app's secrets.toml files.
    • \n
  • The kwargs passed to this function.
    • \n
\n", + "args": [ + { + "name": "name", + "type_name": "str", + "is_optional": false, + "description": "

The connection name used for secrets lookup in [connections.<name>].\nType will be inferred from passing "sql" or "snowpark".

\n", + "default": null + }, + { + "name": "type", + "type_name": "str, connection class, or None", + "is_optional": false, + "description": "

The type of connection to create. It can be a keyword ("sql" or "snowpark"),\na path to an importable class, or an imported class reference. All classes\nmust extend st.connections.ExperimentalBaseConnection and implement the\n_connect() method. If the type kwarg is None, a type field must be set\nin the connection's section in secrets.toml.

\n", + "default": null + }, + { + "name": "max_entries", + "type_name": "int or None", + "is_optional": false, + "description": "

The maximum number of connections to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", + "default": "None" + }, + { + "name": "ttl", + "type_name": "float, timedelta, or None", + "is_optional": false, + "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", + "default": "None" + }, + { + "name": "**kwargs", + "type_name": "any", + "is_optional": false, + "description": "

Additional connection specific kwargs that are passed to the Connection's\n_connect() method. Learn more from the specific Connection's documentation.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "Connection object", + "is_generator": false, + "description": "

An initialized Connection object of the specified type.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/runtime/connection_factory.py#L170" + }, + "streamlit.experimental_data_editor": { + "name": "experimental_data_editor", + "signature": "st.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", + "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", + "is_optional": false, + "description": "

The data to edit in the data editor.

\n
\n

Note

\n
    \n
  • Styles from pandas.Styler will only be applied to non-editable columns.
    • \n
  • Mixing data types within a column can make the column uneditable.
    • \n
  • Additionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.
    • \n
\n
\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", + "default": "False" + }, + { + "name": "hide_index", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", + "default": null + }, + { + "name": "column_order", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", + "default": null + }, + { + "name": "column_config", + "type_name": "dict or None", + "is_optional": false, + "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", + "default": null + }, + { + "name": "num_rows", + "type_name": "\"fixed\" or \"dynamic\"", + "is_optional": false, + "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool or iterable of str", + "is_optional": false, + "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str", + "is_optional": false, + "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this data_editor's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", + "is_generator": false, + "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/data_editor.py#L529" + }, + "streamlit.experimental_get_query_params": { + "name": "experimental_get_query_params", + "signature": "st.experimental_get_query_params()", + "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nimport streamlit as st\n\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", + "description": "

Return the query parameters that is currently showing in the browser's URL bar.

\n", + "args": [], + "returns": [ + { + "type_name": "dict", + "is_generator": false, + "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/commands/query_params.py#L29" + }, + "streamlit.experimental_memo": { + "name": "experimental_memo", + "signature": "st.experimental_memo(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets, hash_funcs=None)", + "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. datetime.datetime) to a hash\nfunction (lambda dt: dt.isoformat()) like this:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={datetime.datetime: lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "datetime.datetime") to the hash function instead:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={"datetime.datetime": lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n
\n", + "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", + "args": [ + { + "name": "func", + "type_name": "callable", + "is_optional": false, + "description": "

The function to cache. Streamlit hashes the function's source code.

\n", + "default": null + }, + { + "name": "ttl", + "type_name": "float, timedelta, str, or None", + "is_optional": false, + "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", + "default": null + }, + { + "name": "max_entries", + "type_name": "int or None", + "is_optional": false, + "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", + "default": "None" + }, + { + "name": "show_spinner", + "type_name": "boolean or string", + "is_optional": false, + "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", + "default": "True" + }, + { + "name": "persist", + "type_name": "\"disk\", boolean, or None", + "is_optional": false, + "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", + "default": "None" + }, + { + "name": "experimental_allow_widgets", + "type_name": "boolean", + "is_optional": false, + "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", + "default": "False" + }, + { + "name": "hash_funcs", + "type_name": "dict or None", + "is_optional": false, + "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/runtime/caching/cache_data_api.py#L384" + }, + "streamlit.experimental_rerun": { + "name": "experimental_rerun", + "signature": "st.experimental_rerun()", + "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/commands/execution_control.py#L47" + }, + "streamlit.experimental_set_query_params": { + "name": "experimental_set_query_params", + "signature": "st.experimental_set_query_params(**query_params)", + "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nimport streamlit as st\n\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", + "description": "

Set the query parameters that are shown in the browser's URL bar.

\n
\n

Warning

\n

Query param embed cannot be set using this method.

\n
\n", + "args": [ + { + "name": "**query_params", + "type_name": "dict", + "is_optional": false, + "description": "

The query parameters to set, as key-value pairs.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/commands/query_params.py#L65" + }, + "streamlit.experimental_singleton": { + "name": "experimental_singleton", + "signature": "st.experimental_singleton(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets, hash_funcs=None)", + "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. Person) to a hash\nfunction (str) like this:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={Person: str})\ndef get_person_name(person: Person):\n    return person.name\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "__main__.Person") to the hash function instead:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={"__main__.Person": str})\ndef get_person_name(person: Person):\n    return person.name\n
\n
\n", + "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", + "args": [ + { + "name": "func", + "type_name": "callable", + "is_optional": false, + "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", + "default": null + }, + { + "name": "ttl", + "type_name": "float, timedelta, str, or None", + "is_optional": false, + "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", + "default": null + }, + { + "name": "max_entries", + "type_name": "int or None", + "is_optional": false, + "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", + "default": "None" + }, + { + "name": "show_spinner", + "type_name": "boolean or string", + "is_optional": false, + "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", + "default": "True" + }, + { + "name": "validate", + "type_name": "callable or None", + "is_optional": false, + "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", + "default": null + }, + { + "name": "experimental_allow_widgets", + "type_name": "boolean", + "is_optional": false, + "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", + "default": "False" + }, + { + "name": "hash_funcs", + "type_name": "dict or None", + "is_optional": false, + "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/runtime/caching/cache_resource_api.py#L264" + }, + "streamlit.file_uploader": { + "name": "file_uploader", + "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", + "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "type", + "type_name": "str or list of str or None", + "is_optional": false, + "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", + "default": "None" + }, + { + "name": "accept_multiple_files", + "type_name": "bool", + "is_optional": false, + "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", + "default": "False" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

A tooltip that gets displayed next to the file uploader.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "None or UploadedFile or list of UploadedFile", + "is_generator": false, + "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/file_uploader.py#L222" + }, + "streamlit.form": { + "name": "form", + "signature": "st.form(key, clear_on_submit=False)", + "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n\n \n
\n", + "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
  • Within a form, the only widget that can have a callback function is\nst.form_submit_button.
    • \n
\n", + "args": [ + { + "name": "key", + "type_name": "str", + "is_optional": false, + "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", + "default": null + }, + { + "name": "clear_on_submit", + "type_name": "bool", + "is_optional": false, + "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", + "default": "values" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/form.py#L118" + }, + "streamlit.form_submit_button": { + "name": "form_submit_button", + "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", + "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", + "default": "s" + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", + "default": "None" + }, + { + "name": "on_click", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this button is clicked.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"secondary\" or \"primary\"", + "is_optional": false, + "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

True if the button was clicked.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/form.py#L218" + }, + "streamlit.get_option": { + "name": "get_option", + "signature": "st.get_option(key)", + "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", + "args": [ + { + "name": "key", + "type_name": "str", + "is_optional": false, + "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/config.py#L131" + }, + "streamlit.graphviz_chart": { + "name": "graphviz_chart", + "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", + "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", + "description": "

Display a graph using the dagre-d3 library.

\n", + "args": [ + { + "name": "figure_or_dot", + "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", + "is_optional": false, + "description": "

The Graphlib graph object or dot string to display

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/graphviz_chart.py#L39" + }, + "streamlit.header": { + "name": "header", + "signature": "st.header(body, anchor=None, *, help=None, divider=False)", + "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header with a divider', divider='rainbow')\nst.header('_Streamlit_ is :blue[cool] :sunglasses:')\n
\n\n \n
\n", + "description": "

Display text in header formatting.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "anchor", + "type_name": "str or False", + "is_optional": false, + "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the header.

\n", + "default": null + }, + { + "name": "divider", + "type_name": "bool or \u201cblue\u201d, \u201cgreen\u201d, \u201corange\u201d, \u201cred\u201d, \u201cviolet\u201d, \u201cgray\u201d/\"grey\", or \u201crainbow\u201d", + "is_optional": false, + "description": "

Shows a colored divider below the header. If True, successive\nheaders will cycle through divider colors. That is, the first\nheader will have a blue line, the second header will have a\ngreen line, and so on. If a string, the color can be set to one of\nthe following: blue, green, orange, red, violet, gray/grey, or\nrainbow.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/heading.py#L41" + }, + "streamlit.help": { + "name": "help", + "signature": "st.help(obj=)", + "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", + "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", + "args": [ + { + "name": "obj", + "type_name": "any", + "is_optional": false, + "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/doc_string.py#L48" + }, + "streamlit.image": { + "name": "image", + "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", + "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", + "description": "

Display an image or list of images.

\n", + "args": [ + { + "name": "image", + "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", + "is_optional": false, + "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", + "default": null + }, + { + "name": "caption", + "type_name": "str or list of str", + "is_optional": false, + "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", + "default": "image" + }, + { + "name": "use_column_width", + "type_name": "\"auto\", \"always\", \"never\", or bool", + "is_optional": false, + "description": "

If "auto", set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf "always" or True, set the image's width to the column width.\nIf "never" or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", + "default": null + }, + { + "name": "clamp", + "type_name": "bool", + "is_optional": false, + "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", + "default": null + }, + { + "name": "channels", + "type_name": "\"RGB\" or \"BGR\"", + "is_optional": false, + "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to "RGB", meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to "BGR", instead.

\n", + "default": "s" + }, + { + "name": "output_format", + "type_name": "\"JPEG\", \"PNG\", or \"auto\"", + "is_optional": false, + "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to "auto" which identifies the compression type based\non the type and format of the image argument.

\n", + "default": "s" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/image.py#L87" + }, + "streamlit.info": { + "name": "info", + "signature": "st.info(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", + "description": "

Display an informational message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The info text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L91" + }, + "streamlit.json": { + "name": "json", + "signature": "st.json(body, *, expanded=True)", + "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", + "description": "

Display object or string as a pretty-printed JSON string.

\n", + "args": [ + { + "name": "body", + "type_name": "object or str", + "is_optional": false, + "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", + "default": null + }, + { + "name": "expanded", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", + "default": "True" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/json.py#L35" + }, + "streamlit.latex": { + "name": "latex", + "signature": "st.latex(body, *, help=None)", + "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", + "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", + "args": [ + { + "name": "body", + "type_name": "str or SymPy expression", + "is_optional": false, + "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L210" + }, + "streamlit.line_chart": { + "name": "line_chart", + "signature": "st.line_chart(data=None, *, x=None, y=None, color=None, width=0, height=0, use_container_width=True)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n

You can also choose different columns to use for x and y, as well as set\nthe color dynamically based on a 3rd column (assuming your dataframe is in\nlong format):

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame({\n    'col1' : np.random.randn(20),\n    'col2' : np.random.randn(20),\n    'col3' : np.random.choice(['A','B','C'], 20)\n})\n\nst.line_chart(\n    chart_data,\n    x = 'col1',\n    y = 'col2',\n    color = 'col3'\n)\n
\n\n \n

Finally, if your dataframe is in wide format, you can group multiple\ncolumns under the y argument to show multiple lines with different\ncolors:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns = ['col1', 'col2', 'col3'])\n\nst.line_chart(\n    chart_data,\n    x = 'col1',\n    y = ['col2', 'col3'],\n    color = ['#FF0000', '#0000FF']  # Optional\n)\n
\n\n \n
\n", + "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", + "is_optional": false, + "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "x", + "type_name": "str or None", + "is_optional": false, + "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "y", + "type_name": "str, sequence of str, or None", + "is_optional": false, + "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str, tuple, sequence of str, sequence of tuple, or None", + "is_optional": false, + "description": "

The color to use for different lines in this chart. This argument\ncan only be supplied by keyword.

\n

For a line chart with just one line, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto lines of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby", then\nthose 1000 datapoints will be grouped into three lines, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into three lines, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe lines in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", + "default": "color" + }, + { + "name": "width", + "type_name": "int", + "is_optional": false, + "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int", + "is_optional": false, + "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L231" + }, + "streamlit.map": { + "name": "map", + "signature": "st.map(data=None, *, latitude=None, longitude=None, color=None, size=None, zoom=None, use_container_width=True)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n

You can also customize the size and color of the datapoints:

\n
\nst.map(df, size=20, color='#0044ff')\n
\n

And finally, you can choose different columns to use for the latitude\nand longitude components, as well as set size and color of each\ndatapoint dynamically based on other columns:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame({\n    "col1": np.random.randn(1000) / 50 + 37.76,\n    "col2": np.random.randn(1000) / 50 + -122.4,\n    "col3": np.random.randn(1000) * 100,\n    "col4": np.random.rand(1000, 4).tolist(),\n})\n\nst.map(df,\n    latitude='col1',\n    longitude='col2',\n    size='col3',\n    color='col4')\n
\n\n \n
\n", + "description": "

Display a map with a scatterplot overlaid onto it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", + "is_optional": false, + "description": "

The data to be plotted.

\n", + "default": null + }, + { + "name": "latitude", + "type_name": "str or None", + "is_optional": false, + "description": "

The name of the column containing the latitude coordinates of\nthe datapoints in the chart. This argument can only be supplied\nby keyword.

\n

If None, the latitude data will come from any column named 'lat',\n'latitude', 'LAT', or 'LATITUDE'.

\n", + "default": null + }, + { + "name": "longitude", + "type_name": "str or None", + "is_optional": false, + "description": "

The name of the column containing the longitude coordinates of\nthe datapoints in the chart. This argument can only be supplied\nby keyword.

\n

If None, the longitude data will come from any column named 'lon',\n'longitude', 'LON', or 'LONGITUDE'.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str or tuple or None", + "is_optional": false, + "description": "

The color of the circles representing each datapoint. This argument\ncan only be supplied by keyword.

\n

Can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
  • The name of the column to use for the color. Cells in this column\nshould contain colors represented as a hex string or color tuple,\nas described above.
    • \n
\n", + "default": "color" + }, + { + "name": "size", + "type_name": "str or float or None", + "is_optional": false, + "description": "

The size of the circles representing each point, in meters. This\nargument can only be supplied by keyword.

\n

This can be:

\n
    \n
  • None, to use the default size.
    • \n
  • A number like 100, to specify a single size to use for all\ndatapoints.
    • \n
  • The name of the column to use for the size. This allows each\ndatapoint to be represented by a circle of a different size.
    • \n
\n", + "default": "size" + }, + { + "name": "zoom", + "type_name": "int", + "is_optional": false, + "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/map.py#L91" + }, + "streamlit.markdown": { + "name": "markdown", + "signature": "st.markdown(body, unsafe_allow_html=False, *, help=None)", + "examples": "
\n
\nimport streamlit as st\n\nst.markdown("*Streamlit* is **really** ***cool***.")\nst.markdown('''\n    :red[Streamlit] :orange[can] :green[write] :blue[text] :violet[in]\n    :gray[pretty] :rainbow[colors].''')\nst.markdown("Here's a bouquet &mdash;\\\n            :tulip::cherry_blossom::rose::hibiscus::sunflower::blossom:")\n\nmulti = '''If you end a line with two spaces,\na soft return is used for the next line.\n\nTwo (or more) newline characters in a row will result in a hard return.\n'''\nst.markdown(multi)\n
\n\n \n
\n", + "description": "

Display string formatted as Markdown.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "unsafe_allow_html", + "type_name": "bool", + "is_optional": false, + "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L31" + }, + "streamlit.metric": { + "name": "metric", + "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", + "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "value", + "type_name": "int, float, str, or None", + "is_optional": false, + "description": "

Value of the metric. None is rendered as a long dash.

\n", + "default": null + }, + { + "name": "delta", + "type_name": "int, float, str, or None", + "is_optional": false, + "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", + "default": null + }, + { + "name": "delta_color", + "type_name": "\"normal\", \"inverse\", or \"off\"", + "is_optional": false, + "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the metric label.

\n", + "default": null + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/metric.py#L46" + }, + "streamlit.multiselect": { + "name": "multiselect", + "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, max_selections=None, placeholder=\"Choose an option\", disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", + "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", + "default": null + }, + { + "name": "default", + "type_name": "[V], V, or None", + "is_optional": false, + "description": "

List of default values. Can also be a single value.

\n", + "default": "values" + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this multiselect's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "max_selections", + "type_name": "int", + "is_optional": false, + "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str", + "is_optional": false, + "description": "

A string to display when no options are selected. Defaults to 'Choose an option'.

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "list", + "is_generator": false, + "description": "

A list with the selected options

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/multiselect.py#L146" + }, + "streamlit.number_input": { + "name": "number_input", + "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", + "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "min_value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", + "default": null + }, + { + "name": "max_value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", + "default": null + }, + { + "name": "value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", + "default": "min_value" + }, + { + "name": "step", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", + "default": "1" + }, + { + "name": "format", + "type_name": "str or None", + "is_optional": false, + "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this number_input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "int or float", + "is_generator": false, + "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/number_input.py#L67" + }, + "streamlit.plotly_chart": { + "name": "plotly_chart", + "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", + "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", + "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", + "args": [ + { + "name": "figure_or_data", + "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", + "is_optional": false, + "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", + "default": null + }, + { + "name": "sharing", + "type_name": "\"streamlit\", \"private\", \"secret\", or \"public\"", + "is_optional": false, + "description": "

Use "streamlit" to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", + "default": null + }, + { + "name": "theme", + "type_name": "\"streamlit\" or None", + "is_optional": false, + "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", + "default": "behavior" + }, + { + "name": "**kwargs", + "type_name": null, + "is_optional": null, + "description": "

Any argument accepted by Plotly's plot() function.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/plotly_chart.py#L81" + }, + "streamlit.progress": { + "name": "progress", + "signature": "st.progress(value, text=None)", + "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", + "description": "

Display a progress bar.

\n", + "args": [ + { + "name": "value", + "type_name": "int or float", + "is_optional": false, + "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", + "default": null + }, + { + "name": "text", + "type_name": "str or None", + "is_optional": false, + "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/progress.py#L66" + }, + "streamlit.pydeck_chart": { + "name": "pydeck_chart", + "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", + "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", + "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", + "args": [ + { + "name": "pydeck_obj", + "type_name": "pydeck.Deck or None", + "is_optional": false, + "description": "

Object specifying the PyDeck chart to draw.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/deck_gl_json_chart.py#L37" + }, + "streamlit.pyplot": { + "name": "pyplot", + "signature": "st.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", + "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", + "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", + "description": "

Display a matplotlib.pyplot figure.

\n", + "args": [ + { + "name": "fig", + "type_name": "Matplotlib Figure", + "is_optional": false, + "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", + "default": null + }, + { + "name": "clear_figure", + "type_name": "bool", + "is_optional": false, + "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", + "default": "based" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. Defaults to True.

\n", + "default": "s" + }, + { + "name": "**kwargs", + "type_name": "any", + "is_optional": false, + "description": "

Arguments to pass to Matplotlib's savefig function.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/pyplot.py#L38" + }, + "streamlit.radio": { + "name": "radio", + "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, captions=None, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What's your favorite movie genre",\n    [":rainbow[Comedy]", "***Drama***", "Documentary :movie_camera:"],\n    captions = ["Laugh out loud.", "Get the popcorn.", "Never stop learning."])\n\nif genre == ':rainbow[Comedy]':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", + "description": "

Display a radio button widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the radio options. Labels can include markdown as\ndescribed in the label parameter and will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", + "default": null + }, + { + "name": "index", + "type_name": "int", + "is_optional": false, + "description": "

The index of the preselected option on first render.

\n", + "default": null + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the radio.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this radio's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "horizontal", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", + "default": "false" + }, + { + "name": "captions", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

A list of captions to show below each radio button. If None (default),\nno captions are shown.

\n", + "default": null + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "any", + "is_generator": false, + "description": "

The selected option.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/radio.py#L76" + }, + "streamlit.select_slider": { + "name": "select_slider", + "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", + "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", + "default": null + }, + { + "name": "value", + "type_name": "a supported type or a tuple/list of supported types or None", + "is_optional": false, + "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", + "default": "first" + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the select slider.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this select_slider's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "any value or tuple of any value", + "is_generator": false, + "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/select_slider.py#L107" + }, + "streamlit.selectbox": { + "name": "selectbox", + "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=\"Select...\", disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", + "description": "

Display a select widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", + "default": null + }, + { + "name": "index", + "type_name": "int", + "is_optional": false, + "description": "

The index of the preselected option on first render.

\n", + "default": null + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this selectbox's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str", + "is_optional": false, + "description": "

A string to display when no options are selected. Defaults to 'Select...'.

\n

A selectbox can't be empty, so a placeholder only displays while a\nuser's cursor is in a selectbox after manually deleting the current\nselection. A future update will allow selectboxes to be empty.

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "any", + "is_generator": false, + "description": "

The selected option

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/selectbox.py#L72" + }, + "streamlit.set_option": { + "name": "set_option", + "signature": "st.set_option(key, value)", + "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", + "args": [ + { + "name": "key", + "type_name": "str", + "is_optional": false, + "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", + "default": null + }, + { + "name": "value", + "type_name": null, + "is_optional": null, + "description": "

The new value to assign to this config option.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/config.py#L92" + }, + "streamlit.set_page_config": { + "name": "set_page_config", + "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", + "example": "
\nimport streamlit as st\n\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", + "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used on an app page, and must only\nbe set once per page.

\n
\n", + "args": [ + { + "name": "page_title", + "type_name": "str or None", + "is_optional": false, + "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", + "default": "the" + }, + { + "name": "page_icon", + "type_name": "Anything supported by st.image or str or None", + "is_optional": false, + "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", + "default": null + }, + { + "name": "layout", + "type_name": "\"centered\" or \"wide\"", + "is_optional": false, + "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", + "default": "s" + }, + { + "name": "initial_sidebar_state", + "type_name": "\"auto\", \"expanded\", or \"collapsed\"", + "is_optional": false, + "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", + "default": "s" + }, + { + "name": "menu_items", + "type_name": "dict", + "is_optional": false, + "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", + "default": "About" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/commands/page_config.py#L114" + }, + "streamlit.slider": { + "name": "slider", + "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", + "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "min_value", + "type_name": "a supported type or None", + "is_optional": false, + "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", + "default": "0" + }, + { + "name": "max_value", + "type_name": "a supported type or None", + "is_optional": false, + "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", + "default": "100" + }, + { + "name": "value", + "type_name": "a supported type or a tuple/list of supported types or None", + "is_optional": false, + "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", + "default": "min_value" + }, + { + "name": "step", + "type_name": "int, float, timedelta, or None", + "is_optional": false, + "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", + "default": "1" + }, + { + "name": "format", + "type_name": "str or None", + "is_optional": false, + "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the slider.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this slider's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", + "is_generator": false, + "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/slider.py#L173" + }, + "streamlit.snow": { + "name": "snow", + "signature": "st.snow()", + "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", + "description": "

Draw celebratory snowfall.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/snow.py#L25" + }, + "streamlit.spinner": { + "name": "spinner", + "signature": "st.spinner(text=\"In progress...\")", + "example": "
\n
\nimport time\nimport streamlit as st\n\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", + "description": "

Temporarily displays a message while executing a block of code.

\n", + "args": [ + { + "name": "text", + "type_name": "str", + "is_optional": false, + "description": "

A message to display while executing that block

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/spinner.py#L23" + }, + "streamlit.status": { + "name": "status", + "signature": "st.status(label, *, expanded=False, state=\"running\")", + "examples": "
\n

You can use with notation to insert any element into an status container:

\n
\nimport time\nimport streamlit as st\n\nwith st.status("Downloading data..."):\n    st.write("Searching for data...")\n    time.sleep(2)\n    st.write("Found URL.")\n    time.sleep(1)\n    st.write("Downloading data...")\n    time.sleep(1)\n\nst.button('Rerun')\n
\n\n \n

You can also use .update() on the container to change the label, state,\nor expanded state:

\n
\nimport time\nimport streamlit as st\n\nwith st.status("Downloading data...", expanded=True) as status:\n    st.write("Searching for data...")\n    time.sleep(2)\n    st.write("Found URL.")\n    time.sleep(1)\n    st.write("Downloading data...")\n    time.sleep(1)\n    status.update(label="Download complete!", state="complete", expanded=False)\n\nst.button('Rerun')\n
\n\n \n
\n", + "description": "

Insert a status container to display output from long-running tasks.

\n

Inserts a container into your app that is typically used to show the status and\ndetails of a process or task. The container can hold multiple elements and can\nbe expanded or collapsed by the user similar to st.expander.\nWhen collapsed, all that is visible is the status icon and label.

\n

The label, state, and expanded state can all be updated by calling .update()\non the returned object. To add elements to the returned container, you can\nuse "with" notation (preferred) or just call methods directly on the returned\nobject.

\n

By default, st.status() initializes in the "running" state. When called using\n"with" notation, it automatically updates to the "complete" state at the end\nof the "with" block. See examples below for more details.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

The initial label of the status container. The label can optionally\ncontain Markdown and supports the following elements: Bold,\nItalics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents)\nrender. Display unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "expanded", + "type_name": "bool", + "is_optional": false, + "description": "

If True, initializes the status container in "expanded" state. Defaults to\nFalse (collapsed).

\n", + "default": "s" + }, + { + "name": "state", + "type_name": "\"running\", \"complete\", or \"error\"", + "is_optional": false, + "description": "

The initial state of the status container which determines which icon is\nshown:

\n
    \n
  • running (default): A spinner icon is shown.
    • \n
  • complete: A checkmark icon is shown.
    • \n
  • error: An error icon is shown.
    • \n
\n", + "default": null + } + ], + "returns": [ + { + "type_name": "StatusContainer", + "is_generator": false, + "description": "

A mutable status container that can hold multiple elements. The label, state,\nand expanded state can be updated after creation via .update().

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L414" + }, + "streamlit.stop": { + "name": "stop", + "signature": "st.stop()", + "example": "
\n
\nimport streamlit as st\n\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", + "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/commands/execution_control.py#L26" + }, + "streamlit.subheader": { + "name": "subheader", + "signature": "st.subheader(body, anchor=None, *, help=None, divider=False)", + "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader with a divider', divider='rainbow')\nst.subheader('_Streamlit_ is :blue[cool] :sunglasses:')\n
\n\n \n
\n", + "description": "

Display text in subheader formatting.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "anchor", + "type_name": "str or False", + "is_optional": false, + "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the subheader.

\n", + "default": null + }, + { + "name": "divider", + "type_name": "bool or \u201cblue\u201d, \u201cgreen\u201d, \u201corange\u201d, \u201cred\u201d, \u201cviolet\u201d, \u201cgray\u201d/\"grey\", or \u201crainbow\u201d", + "is_optional": false, + "description": "

Shows a colored divider below the header. If True, successive\nheaders will cycle through divider colors. That is, the first\nheader will have a blue line, the second header will have a\ngreen line, and so on. If a string, the color can be set to one of\nthe following: blue, green, orange, red, violet, gray/grey, or\nrainbow.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/heading.py#L111" + }, + "streamlit.success": { + "name": "success", + "signature": "st.success(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", + "description": "

Display a success message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The success text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L124" + }, + "streamlit.table": { + "name": "table", + "signature": "st.table(data=None)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", + "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", + "is_optional": false, + "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L193" + }, + "streamlit.tabs": { + "name": "tabs", + "signature": "st.tabs(tabs)", + "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", + "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", + "args": [ + { + "name": "tabs", + "type_name": "list of strings", + "is_optional": false, + "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "list of containers", + "is_generator": false, + "description": "

A list of container objects.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L207" + }, + "streamlit.text": { + "name": "text", + "signature": "st.text(body, *, help=None)", + "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", + "description": "

Write fixed-width and preformatted text.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the text.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/text.py#L27" + }, + "streamlit.text_area": { + "name": "text_area", + "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", + "description": "

Display a multi-line text input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "object", + "is_optional": false, + "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", + "default": "height" + }, + { + "name": "max_chars", + "type_name": "int or None", + "is_optional": false, + "description": "

Maximum number of characters allowed in text area.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the textarea.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this text_area's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "str", + "is_generator": false, + "description": "

The current value of the text input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/text_widgets.py#L288" + }, + "streamlit.text_input": { + "name": "text_input", + "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", + "description": "

Display a single-line text input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "object", + "is_optional": false, + "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", + "default": null + }, + { + "name": "max_chars", + "type_name": "int or None", + "is_optional": false, + "description": "

Max number of characters allowed in text input.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"default\" or \"password\"", + "is_optional": false, + "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", + "default": "s" + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "autocomplete", + "type_name": "str", + "is_optional": false, + "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this text input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "str", + "is_generator": false, + "description": "

The current value of the text input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/text_widgets.py#L72" + }, + "streamlit.time_input": { + "name": "time_input", + "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", + "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", + "description": "

Display a time input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "datetime.time/datetime.datetime", + "is_optional": false, + "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", + "default": "the" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this time_input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + }, + { + "name": "step", + "type_name": "int or timedelta", + "is_optional": false, + "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", + "default": "900" + } + ], + "returns": [ + { + "type_name": "datetime.time", + "is_generator": false, + "description": "

The current value of the time input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/time_widgets.py#L219" + }, + "streamlit.title": { + "name": "title", + "signature": "st.title(body, anchor=None, *, help=None)", + "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('_Streamlit_ is :blue[cool] :sunglasses:')\n
\n\n \n
\n", + "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "anchor", + "type_name": "str or False", + "is_optional": false, + "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the title.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/heading.py#L181" + }, + "streamlit.toast": { + "name": "toast", + "signature": "st.toast(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.toast('Your edited image was saved!', icon='\ud83d\ude0d')\n
\n
\n", + "description": "

Display a short message, known as a notification "toast".

\n

The toast appears in the app's bottom-right corner and disappears after four seconds.

\n
\n

Warning

\n

st.toast is not compatible with Streamlit's caching and\ncannot be called within a cached function.

\n
\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the toast. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/toast.py#L37" + }, + "streamlit.toggle": { + "name": "toggle", + "signature": "st.toggle(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\non = st.toggle('Activate feature')\n\nif on:\n    st.write('Feature activated!')\n
\n\n \n
\n", + "description": "

Display a toggle widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this toggle is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "bool", + "is_optional": false, + "description": "

Preselect the toggle when it first renders. This will be\ncast to bool internally.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the toggle.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this toggle's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the toggle if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

Whether or not the toggle is checked.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/checkbox.py#L156" + }, + "streamlit.vega_lite_chart": { + "name": "vega_lite_chart", + "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", + "description": "

Display a chart using the Vega-Lite library.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", + "is_optional": false, + "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "spec", + "type_name": "dict or None", + "is_optional": false, + "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", + "default": null + }, + { + "name": "theme", + "type_name": "\"streamlit\" or None", + "is_optional": false, + "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", + "default": "behavior" + }, + { + "name": "**kwargs", + "type_name": "any", + "is_optional": false, + "description": "

Same as spec, but as keywords.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L819" + }, + "streamlit.video": { + "name": "video", + "signature": "st.video(data, format=\"video/mp4\", start_time=0)", + "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", + "description": "

Display a video player.

\n", + "args": [ + { + "name": "data", + "type_name": "str, bytes, BytesIO, numpy.ndarray, or file", + "is_optional": false, + "description": "

Raw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", + "default": null + }, + { + "name": "format", + "type_name": "str", + "is_optional": false, + "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", + "default": "s" + }, + { + "name": "start_time", + "type_name": "int", + "is_optional": false, + "description": "

The time from which this element should start playing.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/media.py#L115" + }, + "streamlit.warning": { + "name": "warning", + "signature": "st.warning(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", + "description": "

Display warning message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The warning text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L59" + }, + "streamlit.write": { + "name": "write", + "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", + "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", + "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", + "args": [ + { + "name": "*args", + "type_name": "any", + "is_optional": false, + "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", + "default": null + }, + { + "name": "unsafe_allow_html", + "type_name": "bool", + "is_optional": false, + "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", + "default": "False" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/write.py#L49" + }, + "streamlit.experimental_memo.clear": { + "name": "experimental_memo.clear", + "signature": "st.experimental_memo.clear()", + "description": "

Clear all in-memory and on-disk data caches.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/runtime/caching/cache_data_api.py#L587" + }, + "streamlit.cache_data.clear": { + "name": "cache_data.clear", + "signature": "st.cache_data.clear()", + "description": "

Clear all in-memory and on-disk data caches.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/runtime/caching/cache_data_api.py#L587" + }, + "streamlit.experimental_singleton.clear": { + "name": "experimental_singleton.clear", + "signature": "st.experimental_singleton.clear()", + "description": "

Clear all cache_resource caches.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/runtime/caching/cache_resource_api.py#L449" + }, + "streamlit.cache_resource.clear": { + "name": "cache_resource.clear", + "signature": "st.cache_resource.clear()", + "description": "

Clear all cache_resource caches.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/runtime/caching/cache_resource_api.py#L449" + }, + "streamlit.connections.ExperimentalBaseConnection": { + "name": "ExperimentalBaseConnection", + "signature": "st.connections.ExperimentalBaseConnection(connection_name, **kwargs)", + "is_class": true, + "methods": [ + { + "name": "reset", + "signature": "st.connections.reset.reset()", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", + "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/base_connection.py#L137" + } + ], + "properties": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/base_connection.py#L25", + "description": "

The abstract base class that all Streamlit Connections must inherit from.

\n

This base class provides connection authors with a standardized way to hook into the\nst.experimental_connection() factory function: connection authors are required to\nprovide an implementation for the abstract method _connect in their subclasses.

\n

Additionally, it also provides a few methods/properties designed to make\nimplementation of connections more convenient. See the docstrings for each of the\nmethods of this class for more information

\n
\n

Note

\n

While providing an implementation of _connect is technically all that's\nrequired to define a valid connection, connections should also provide the user\nwith context-specific ways of interacting with the underlying connection object.\nFor example, the first-party SQLConnection provides a query() method for\nreads and a session property for more complex operations.

\n
\n", + "args": [], + "returns": [] + }, + "streamlit.connections.SQLConnection": { + "name": "SQLConnection", + "signature": "st.connections.SQLConnection(connection_name, **kwargs)", + "is_class": true, + "methods": [ + { + "name": "query", + "signature": "st.connections.query.query(sql, *, ttl=None, index_col=None, chunksize=None, params=None, **kwargs)", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners where owner = :owner", ttl=3600, params={"owner":"barbara"})\nst.dataframe(df)\n
\n
\n", + "description": "

Run a read-only query.

", + "args": [ + { + "name": "sql", + "type_name": "str", + "is_optional": false, + "description": "

The read-only SQL query to execute.

\n", + "default": null + }, + { + "name": "ttl", + "type_name": "float, int, timedelta or None", + "is_optional": false, + "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", + "default": "None" + }, + { + "name": "index_col", + "type_name": "str, list of str, or None", + "is_optional": false, + "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", + "default": "None" + }, + { + "name": "chunksize", + "type_name": "int or None", + "is_optional": false, + "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", + "default": "None" + }, + { + "name": "params", + "type_name": "list, tuple, dict or None", + "is_optional": false, + "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", + "default": "None" + }, + { + "name": "**kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

Additional keyword arguments are passed to pd.read_sql.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "pd.DataFrame", + "is_generator": false, + "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/sql_connection.py#L121" + }, + { + "name": "reset", + "signature": "st.connections.reset.reset()", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", + "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/base_connection.py#L137" + } + ], + "properties": [ + { + "name": "session", + "signature": "st.connections.session.session", + "example": "
\n
\nimport streamlit as st\nconn = st.experimental_connection("sql")\nn = st.slider("Pick a number")\nif st.button("Add the number!"):\n    with conn.session as session:\n        session.execute("INSERT INTO numbers (val) VALUES (:n);", {"n": n})\n        session.commit()\n
\n
\n", + "description": "

Return a SQLAlchemy Session.

", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/sql_connection.py#L226" + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/sql_connection.py#L45", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", + "description": "

A connection to a SQL database using a SQLAlchemy Engine. Initialize using st.experimental_connection("<name>", type="sql").

\n

SQLConnection provides the query() convenience method, which can be used to\nrun simple read-only queries with both caching and simple error handling/retries.\nMore complex DB interactions can be performed by using the .session property\nto receive a regular SQLAlchemy Session.

\n

SQLConnections should always be created using st.experimental_connection(),\nnot initialized directly. Connection parameters for a SQLConnection can be\nspecified using either st.secrets or **kwargs. Some frequently used\nparameters include:

\n
    \n
  • url or arguments for sqlalchemy.engine.URL.create().\nMost commonly it includes a dialect, host, database, username and password.
    • \n
  • create_engine_kwargs can be passed via st.secrets, such as for\nsnowflake-sqlalchemy\nor Google BigQuery.\nThese can also be passed directly as **kwargs to experimental_connection().
    • \n
  • autocommit=True to run with isolation level AUTOCOMMIT. Default is False.
    • \n
\n", + "args": [], + "returns": [] + }, + "streamlit.connections.SnowparkConnection": { + "name": "SnowparkConnection", + "signature": "st.connections.SnowparkConnection(connection_name, **kwargs)", + "is_class": true, + "methods": [ + { + "name": "query", + "signature": "st.connections.query.query(sql, ttl=None)", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", + "description": "

Run a read-only SQL query.

", + "args": [ + { + "name": "sql", + "type_name": "str", + "is_optional": false, + "description": "

The read-only SQL query to execute.

\n", + "default": null + }, + { + "name": "ttl", + "type_name": "float, int, timedelta or None", + "is_optional": false, + "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", + "default": "None" + } + ], + "returns": [ + { + "type_name": "pd.DataFrame", + "is_generator": false, + "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/snowpark_connection.py#L123" + }, + { + "name": "reset", + "signature": "st.connections.reset.reset()", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", + "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/base_connection.py#L137" + }, + { + "name": "safe_session", + "signature": "st.connections.safe_session.safe_session()", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\nwith conn.safe_session() as session:\n    df = session.table("mytable").limit(10).to_pandas()\n\nst.dataframe(df)\n
\n
\n", + "description": "

Grab the underlying Snowpark session in a thread-safe manner.

", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/snowpark_connection.py#L207" + } + ], + "properties": [ + { + "name": "session", + "signature": "st.connections.session.session", + "example": "
\n
\nimport streamlit as st\n\nsession = st.experimental_connection("snowpark").session\ndf = session.table("mytable").limit(10).to_pandas()\nst.dataframe(df)\n
\n
\n", + "description": "

Access the underlying Snowpark session.

", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/snowpark_connection.py#L184" + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/snowpark_connection.py#L70", + "description": "

A connection to Snowpark using snowflake.snowpark.session.Session. Initialize using

\n

st.experimental_connection("<name>", type="snowpark").

\n

In addition to accessing the Snowpark Session, SnowparkConnection supports direct SQL querying using\nquery("...") and thread safe access using with conn.safe_session():. See methods\nbelow for more information. SnowparkConnections should always be created using\nst.experimental_connection(), not initialized directly.

\n
\n

Note

\n

We don't expect this iteration of SnowparkConnection to be able to scale\nwell in apps with many concurrent users due to the lock contention that will occur\nover the single underlying Session object under high load.

\n
\n", + "args": [], + "returns": [] + }, + "streamlit.connections.SQLConnection.query": { + "name": "query", + "signature": "SQLConnection.query(sql, *, ttl=None, index_col=None, chunksize=None, params=None, **kwargs)", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners where owner = :owner", ttl=3600, params={"owner":"barbara"})\nst.dataframe(df)\n
\n
\n", + "description": "

Run a read-only query.

\n

This method implements both query result caching (with caching behavior\nidentical to that of using @st.cache_data) as well as simple error handling/retries.

\n
\n

Note

\n

Queries that are run without a specified ttl are cached indefinitely.

\n
\n

Aside from the ttl kwarg, all kwargs passed to this function are passed down\nto pd.read_sql\nand have the behavior described in the pandas documentation.

\n", + "args": [ + { + "name": "sql", + "type_name": "str", + "is_optional": false, + "description": "

The read-only SQL query to execute.

\n", + "default": null + }, + { + "name": "ttl", + "type_name": "float, int, timedelta or None", + "is_optional": false, + "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", + "default": "None" + }, + { + "name": "index_col", + "type_name": "str, list of str, or None", + "is_optional": false, + "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", + "default": "None" + }, + { + "name": "chunksize", + "type_name": "int or None", + "is_optional": false, + "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", + "default": "None" + }, + { + "name": "params", + "type_name": "list, tuple, dict or None", + "is_optional": false, + "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", + "default": "None" + }, + { + "name": "**kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

Additional keyword arguments are passed to pd.read_sql.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "pd.DataFrame", + "is_generator": false, + "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/sql_connection.py#L121" + }, + "streamlit.connections.SQLConnection.reset": { + "name": "reset", + "signature": "SQLConnection.reset()", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", + "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/base_connection.py#L137" + }, + "streamlit.connections.SQLConnection.session": { + "name": "session", + "signature": "SQLConnection.session", + "example": "
\n
\nimport streamlit as st\nconn = st.experimental_connection("sql")\nn = st.slider("Pick a number")\nif st.button("Add the number!"):\n    with conn.session as session:\n        session.execute("INSERT INTO numbers (val) VALUES (:n);", {"n": n})\n        session.commit()\n
\n
\n", + "description": "

Return a SQLAlchemy Session.

\n

Users of this connection should use the contextmanager pattern for writes,\ntransactions, and anything more complex than simple read queries.

\n

See the usage example below, which assumes we have a table numbers with a\nsingle integer column val. The SQLAlchemy docs also contain\nmuch more information on the usage of sessions.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/sql_connection.py#L226" + }, + "streamlit.connections.SnowparkConnection.query": { + "name": "query", + "signature": "SnowparkConnection.query(sql, ttl=None)", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", + "description": "

Run a read-only SQL query.

\n

This method implements both query result caching (with caching behavior\nidentical to that of using @st.cache_data) as well as simple error handling/retries.

\n
\n

Note

\n

Queries that are run without a specified ttl are cached indefinitely.

\n
\n", + "args": [ + { + "name": "sql", + "type_name": "str", + "is_optional": false, + "description": "

The read-only SQL query to execute.

\n", + "default": null + }, + { + "name": "ttl", + "type_name": "float, int, timedelta or None", + "is_optional": false, + "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", + "default": "None" + } + ], + "returns": [ + { + "type_name": "pd.DataFrame", + "is_generator": false, + "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/snowpark_connection.py#L123" + }, + "streamlit.connections.SnowparkConnection.reset": { + "name": "reset", + "signature": "SnowparkConnection.reset()", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", + "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/base_connection.py#L137" + }, + "streamlit.connections.SnowparkConnection.safe_session": { + "name": "safe_session", + "signature": "SnowparkConnection.safe_session()", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\nwith conn.safe_session() as session:\n    df = session.table("mytable").limit(10).to_pandas()\n\nst.dataframe(df)\n
\n
\n", + "description": "

Grab the underlying Snowpark session in a thread-safe manner.

\n

As operations on a Snowpark session are not thread safe, we need to take care\nwhen using a session in the context of a Streamlit app where each script run\noccurs in its own thread. Using the contextmanager pattern to do this ensures\nthat access on this connection's underlying Session is done in a thread-safe\nmanner.

\n

Information on how to use Snowpark sessions can be found in the Snowpark documentation.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/snowpark_connection.py#L207" + }, + "streamlit.connections.SnowparkConnection.session": { + "name": "session", + "signature": "SnowparkConnection.session", + "example": "
\n
\nimport streamlit as st\n\nsession = st.experimental_connection("snowpark").session\ndf = session.table("mytable").limit(10).to_pandas()\nst.dataframe(df)\n
\n
\n", + "description": "

Access the underlying Snowpark session.

\n
\n

Note

\n

Snowpark sessions are not thread safe. Users of this method are\nresponsible for ensuring that access to the session returned by this method is\ndone in a thread-safe manner. For most users, we recommend using the thread-safe\nsafe_session() method and a with block.

\n
\n

Information on how to use Snowpark sessions can be found in the Snowpark documentation.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/snowpark_connection.py#L184" + }, + "streamlit.connections.ExperimentalBaseConnection.reset": { + "name": "reset", + "signature": "ExperimentalBaseConnection.reset()", + "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", + "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/connections/base_connection.py#L137" + }, + "streamlit.column_config.BarChartColumn": { + "name": "BarChartColumn", + "signature": "st.column_config.BarChartColumn(label=None, *, width=None, help=None, y_min=None, y_max=None)", + "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.BarChartColumn(\n            "Sales (last 6 months)",\n            help="The sales volume in the last 6 months",\n            y_min=0,\n            y_max=100,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a bar chart column in st.dataframe or st.data_editor.

\n

Cells need to contain a list of numbers. Chart columns are not editable\nat the moment. This command needs to be used in the column_config parameter\nof st.dataframe or st.data_editor.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "y_min", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The minimum value on the y-axis for all cells in the column.\nIf None (default), every cell will use the minimum of its data.

\n", + "default": null + }, + { + "name": "y_max", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The maximum value on the y-axis for all cells in the column. If None (default),\nevery cell will use the maximum of its data.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L746" + }, + "streamlit.column_config.CheckboxColumn": { + "name": "CheckboxColumn", + "signature": "st.column_config.CheckboxColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None)", + "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n        "favorite": [True, False, False, True],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "favorite": st.column_config.CheckboxColumn(\n            "Your favorite?",\n            help="Select your **favorite** widgets",\n            default=False,\n        )\n    },\n    disabled=["widgets"],\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a checkbox column in st.dataframe or st.data_editor.

\n

This is the default column type for boolean values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a checkbox widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", + "default": "False" + }, + { + "name": "required", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", + "default": "False" + }, + { + "name": "default", + "type_name": "bool or None", + "is_optional": false, + "description": "

Specifies the default value in this column when a new row is added by the user.

\n", + "default": "value" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L565" + }, + "streamlit.column_config.Column": { + "name": "Column", + "signature": "st.column_config.Column(label=None, *, width=None, help=None, disabled=None, required=None)", + "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "widgets": st.column_config.Column(\n            "Streamlit Widgets",\n            help="Streamlit **widget** commands \ud83c\udf88",\n            width="medium",\n            required=True,\n        )\n    },\n    hide_index=True,\n    num_rows="dynamic",\n)\n
\n\n \n
\n", + "description": "

Configure a generic column in st.dataframe or st.data_editor.

\n

The type of the column will be automatically inferred from the data type.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor.

\n

To change the type of the column and enable type-specific configuration options,\nuse one of the column types in the st.column_config namespace,\ne.g. st.column_config.NumberColumn.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", + "default": "False" + }, + { + "name": "required", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", + "default": "False" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L187" + }, + "streamlit.column_config.DateColumn": { + "name": "DateColumn", + "signature": "st.column_config.DateColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", + "examples": "
\n
\nfrom datetime import date\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "birthday": [\n            date(1980, 1, 1),\n            date(1990, 5, 3),\n            date(1974, 5, 19),\n            date(2001, 8, 17),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "birthday": st.column_config.DateColumn(\n            "Birthday",\n            min_value=date(1900, 1, 1),\n            max_value=date(2005, 1, 1),\n            format="DD.MM.YYYY",\n            step=1,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a date column in st.dataframe or st.data_editor.

\n

This is the default column type for date values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor. When used\nwith st.data_editor, editing will be enabled with a date picker widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", + "default": "False" + }, + { + "name": "required", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", + "default": "False" + }, + { + "name": "default", + "type_name": "datetime.date or None", + "is_optional": false, + "description": "

Specifies the default value in this column when a new row is added by the user.

\n", + "default": "value" + }, + { + "name": "format", + "type_name": "str or None", + "is_optional": false, + "description": "

A momentJS format string controlling how times are displayed. See\nmomentJS docs for available\nformats. If None (default), uses YYYY-MM-DD.

\n", + "default": null + }, + { + "name": "min_value", + "type_name": "datetime.date or None", + "is_optional": false, + "description": "

The minimum date that can be entered.\nIf None (default), there will be no minimum.

\n", + "default": null + }, + { + "name": "max_value", + "type_name": "datetime.date or None", + "is_optional": false, + "description": "

The maximum date that can be entered.\nIf None (default), there will be no maximum.

\n", + "default": null + }, + { + "name": "step", + "type_name": "int or None", + "is_optional": false, + "description": "

The stepping interval in days. If None (default), the step will be 1 day.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L1278" + }, + "streamlit.column_config.DatetimeColumn": { + "name": "DatetimeColumn", + "signature": "st.column_config.DatetimeColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None, timezone=None)", + "examples": "
\n
\nfrom datetime import datetime\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "appointment": [\n            datetime(2024, 2, 5, 12, 30),\n            datetime(2023, 11, 10, 18, 0),\n            datetime(2024, 3, 11, 20, 10),\n            datetime(2023, 9, 12, 3, 0),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "appointment": st.column_config.DatetimeColumn(\n            "Appointment",\n            min_value=datetime(2023, 6, 1),\n            max_value=datetime(2025, 1, 1),\n            format="D MMM YYYY, h:mm a",\n            step=60,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a datetime column in st.dataframe or st.data_editor.

\n

This is the default column type for datetime values. This command needs to be\nused in the column_config parameter of st.dataframe or\nst.data_editor. When used with st.data_editor, editing will be enabled\nwith a datetime picker widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", + "default": "False" + }, + { + "name": "required", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", + "default": "False" + }, + { + "name": "default", + "type_name": "datetime.datetime or None", + "is_optional": false, + "description": "

Specifies the default value in this column when a new row is added by the user.

\n", + "default": "value" + }, + { + "name": "format", + "type_name": "str or None", + "is_optional": false, + "description": "

A momentJS format string controlling how datetimes are displayed. See\nmomentJS docs for available\nformats. If None (default), uses YYYY-MM-DD HH:mm:ss.

\n", + "default": null + }, + { + "name": "min_value", + "type_name": "datetime.datetime or None", + "is_optional": false, + "description": "

The minimum datetime that can be entered.\nIf None (default), there will be no minimum.

\n", + "default": null + }, + { + "name": "max_value", + "type_name": "datetime.datetime or None", + "is_optional": false, + "description": "

The maximum datetime that can be entered.\nIf None (default), there will be no maximum.

\n", + "default": null + }, + { + "name": "step", + "type_name": "int, float, datetime.timedelta, or None", + "is_optional": false, + "description": "

The stepping interval in seconds. If None (default), the step will be 1 second.

\n", + "default": null + }, + { + "name": "timezone", + "type_name": "str or None", + "is_optional": false, + "description": "

The timezone of this column. If None (default),\nthe timezone is inferred from the underlying data.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L1043" + }, + "streamlit.column_config.ImageColumn": { + "name": "ImageColumn", + "signature": "st.column_config.ImageColumn(label=None, *, width=None, help=None)", + "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "apps": [\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/5435b8cb-6c6c-490b-9608-799b543655d3/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/ef9a7627-13f2-47e5-8f65-3f69bb38a5c2/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/31b99099-8eae-4ff8-aa89-042895ed3843/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/6a399b09-241e-4ae7-a31f-7640dc1d181e/Home_Page.png",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "apps": st.column_config.ImageColumn(\n            "Preview Image", help="Streamlit app preview screenshots"\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure an image column in st.dataframe or st.data_editor.

\n

The cell values need to be one of:

\n
    \n
  • A URL to fetch the image from. This can also be a relative URL of an image\ndeployed via static file serving.\nNote that you can NOT use an arbitrary local image if it is not available through\na public URL.
    • \n
  • A data URL containing an SVG XML like data:image/svg+xml;utf8,<svg xmlns=...</svg>.
    • \n
  • A data URL containing a Base64 encoded image like data:image/png;base64,iVBO....
    • \n
\n

Image columns are not editable at the moment. This command needs to be used in the\ncolumn_config parameter of st.dataframe or st.data_editor.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L907" + }, + "streamlit.column_config.LineChartColumn": { + "name": "LineChartColumn", + "signature": "st.column_config.LineChartColumn(label=None, *, width=None, help=None, y_min=None, y_max=None)", + "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.LineChartColumn(\n            "Sales (last 6 months)",\n            width="medium",\n            help="The sales volume in the last 6 months",\n            y_min=0,\n            y_max=100,\n         ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a line chart column in st.dataframe or st.data_editor.

\n

Cells need to contain a list of numbers. Chart columns are not editable\nat the moment. This command needs to be used in the column_config parameter\nof st.dataframe or st.data_editor.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "y_min", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The minimum value on the y-axis for all cells in the column.\nIf None (default), every cell will use the minimum of its data.

\n", + "default": null + }, + { + "name": "y_max", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The maximum value on the y-axis for all cells in the column. If None (default),\nevery cell will use the maximum of its data.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L826" + }, + "streamlit.column_config.LinkColumn": { + "name": "LinkColumn", + "signature": "st.column_config.LinkColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, max_chars=None, validate=None)", + "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "apps": [\n            "https://roadmap.streamlit.app",\n            "https://extras.streamlit.app",\n            "https://issues.streamlit.app",\n            "https://30days.streamlit.app",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "apps": st.column_config.LinkColumn(\n            "Trending apps",\n            help="The top trending Streamlit apps",\n            validate="^https://[a-z]+\\.streamlit\\.app$",\n            max_chars=100,\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a link column in st.dataframe or st.data_editor.

\n

The cell values need to be string and will be shown as clickable links.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor. When used with st.data_editor, editing will be enabled\nwith a text input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", + "default": "False" + }, + { + "name": "required", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", + "default": "False" + }, + { + "name": "default", + "type_name": "str or None", + "is_optional": false, + "description": "

Specifies the default value in this column when a new row is added by the user.

\n", + "default": "value" + }, + { + "name": "max_chars", + "type_name": "int or None", + "is_optional": false, + "description": "

The maximum number of characters that can be entered. If None (default),\nthere will be no maximum.

\n", + "default": null + }, + { + "name": "validate", + "type_name": "str or None", + "is_optional": false, + "description": "

A regular expression (JS flavor, e.g. "^https://.+$") that edited values are validated against.\nIf the input is invalid, it will not be submitted.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L466" + }, + "streamlit.column_config.ListColumn": { + "name": "ListColumn", + "signature": "st.column_config.ListColumn(label=None, *, width=None, help=None)", + "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.ListColumn(\n            "Sales (last 6 months)",\n            help="The sales volume in the last 6 months",\n            width="medium",\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a list column in st.dataframe or st.data_editor.

\n

This is the default column type for list-like values. List columns are not editable\nat the moment. This command needs to be used in the column_config parameter of\nst.dataframe or st.data_editor.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L978" + }, + "streamlit.column_config.NumberColumn": { + "name": "NumberColumn", + "signature": "st.column_config.NumberColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", + "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "price": [20, 950, 250, 500],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "price": st.column_config.NumberColumn(\n            "Price (in USD)",\n            help="The price of the product in USD",\n            min_value=0,\n            max_value=1000,\n            step=1,\n            format="$%d",\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a number column in st.dataframe or st.data_editor.

\n

This is the default column type for integer and float values. This command needs to\nbe used in the column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a numeric input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", + "default": "False" + }, + { + "name": "required", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", + "default": "False" + }, + { + "name": "default", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

Specifies the default value in this column when a new row is added by the user.

\n", + "default": "value" + }, + { + "name": "format", + "type_name": "str or None", + "is_optional": false, + "description": "

A printf-style format string controlling how numbers are displayed.\nThis does not impact the return value. Valid formatters: %d %e %f %g %i %u.\nYou can also add prefixes and suffixes, e.g. "$ %.2f" to show a dollar prefix.

\n", + "default": null + }, + { + "name": "min_value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The minimum value that can be entered.\nIf None (default), there will be no minimum.

\n", + "default": null + }, + { + "name": "max_value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The maximum value that can be entered.\nIf None (default), there will be no maximum.

\n", + "default": null + }, + { + "name": "step", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The stepping interval. Specifies the precision of numbers that can be entered.\nIf None (default), uses 1 for integers and unrestricted precision for floats.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L262" + }, + "streamlit.column_config.ProgressColumn": { + "name": "ProgressColumn", + "signature": "st.column_config.ProgressColumn(label=None, *, width=None, help=None, format=None, min_value=None, max_value=None)", + "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [200, 550, 1000, 80],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.ProgressColumn(\n            "Sales volume",\n            help="The sales volume in USD",\n            format="$%f",\n            min_value=0,\n            max_value=1000,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a progress column in st.dataframe or st.data_editor.

\n

Cells need to contain a number. Progress columns are not editable at the moment.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "format", + "type_name": "str or None", + "is_optional": false, + "description": "

A printf-style format string controlling how numbers are displayed.\nValid formatters: %d %e %f %g %i %u. You can also add prefixes and suffixes,\ne.g. "$ %.2f" to show a dollar prefix.

\n", + "default": null + }, + { + "name": "min_value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The minimum value of the progress bar.\nIf None (default), will be 0.

\n", + "default": null + }, + { + "name": "max_value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The minimum value of the progress bar. If None (default), will be 100 for\ninteger values and 1 for float values.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L1391" + }, + "streamlit.column_config.SelectboxColumn": { + "name": "SelectboxColumn", + "signature": "st.column_config.SelectboxColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, options=None)", + "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "category": [\n            "\ud83d\udcca Data Exploration",\n            "\ud83d\udcc8 Data Visualization",\n            "\ud83e\udd16 LLM",\n            "\ud83d\udcca Data Exploration",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "category": st.column_config.SelectboxColumn(\n            "App Category",\n            help="The category of the app",\n            width="medium",\n            options=[\n                "\ud83d\udcca Data Exploration",\n                "\ud83d\udcc8 Data Visualization",\n                "\ud83e\udd16 LLM",\n            ],\n            required=True,\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a selectbox column in st.dataframe or st.data_editor.

\n

This is the default column type for Pandas categorical values. This command needs to\nbe used in the column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a selectbox widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", + "default": "False" + }, + { + "name": "required", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", + "default": "False" + }, + { + "name": "default", + "type_name": "str, int, float, bool, or None", + "is_optional": false, + "description": "

Specifies the default value in this column when a new row is added by the user.

\n", + "default": "value" + }, + { + "name": "options", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

The options that can be selected during editing. If None (default), this will be\ninferred from the underlying dataframe column if its dtype is \u201ccategory\u201d\n(see Pandas docs on categorical data).

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L647" + }, + "streamlit.column_config.TextColumn": { + "name": "TextColumn", + "signature": "st.column_config.TextColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, max_chars=None, validate=None)", + "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "widgets": st.column_config.TextColumn(\n            "Widgets",\n            help="Streamlit **widget** commands \ud83c\udf88",\n            default="st.",\n            max_chars=50,\n            validate="^st\\.[a-z_]+$",\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a text column in st.dataframe or st.data_editor.

\n

This is the default column type for string values. This command needs to be used in the\ncolumn_config parameter of st.dataframe or st.data_editor. When used with\nst.data_editor, editing will be enabled with a text input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", + "default": "False" + }, + { + "name": "required", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", + "default": "False" + }, + { + "name": "default", + "type_name": "str or None", + "is_optional": false, + "description": "

Specifies the default value in this column when a new row is added by the user.

\n", + "default": "value" + }, + { + "name": "max_chars", + "type_name": "int or None", + "is_optional": false, + "description": "

The maximum number of characters that can be entered. If None (default),\nthere will be no maximum.

\n", + "default": null + }, + { + "name": "validate", + "type_name": "str or None", + "is_optional": false, + "description": "

A regular expression (JS flavor, e.g. "^[a-z]+$") that edited values are validated against.\nIf the input is invalid, it will not be submitted.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L372" + }, + "streamlit.column_config.TimeColumn": { + "name": "TimeColumn", + "signature": "st.column_config.TimeColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", + "examples": "
\n
\nfrom datetime import time\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "appointment": [\n            time(12, 30),\n            time(18, 0),\n            time(9, 10),\n            time(16, 25),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "appointment": st.column_config.TimeColumn(\n            "Appointment",\n            min_value=time(8, 0, 0),\n            max_value=time(19, 0, 0),\n            format="hh:mm a",\n            step=60,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Configure a time column in st.dataframe or st.data_editor.

\n

This is the default column type for time values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor. When\nused with st.data_editor, editing will be enabled with a time picker widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", + "default": null + }, + { + "name": "width", + "type_name": "\"small\", \"medium\", \"large\", or None", + "is_optional": false, + "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", + "default": "False" + }, + { + "name": "required", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", + "default": "False" + }, + { + "name": "default", + "type_name": "datetime.time or None", + "is_optional": false, + "description": "

Specifies the default value in this column when a new row is added by the user.

\n", + "default": "value" + }, + { + "name": "format", + "type_name": "str or None", + "is_optional": false, + "description": "

A momentJS format string controlling how times are displayed. See\nmomentJS docs for available\nformats. If None (default), uses HH:mm:ss.

\n", + "default": null + }, + { + "name": "min_value", + "type_name": "datetime.time or None", + "is_optional": false, + "description": "

The minimum time that can be entered.\nIf None (default), there will be no minimum.

\n", + "default": null + }, + { + "name": "max_value", + "type_name": "datetime.time or None", + "is_optional": false, + "description": "

The maximum time that can be entered.\nIf None (default), there will be no maximum.

\n", + "default": null + }, + { + "name": "step", + "type_name": "int, float, datetime.timedelta, or None", + "is_optional": false, + "description": "

The stepping interval in seconds. If None (default), the step will be 1 second.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/column_types.py#L1164" + }, + "streamlit.components.v1.declare_component": { + "name": "declare_component", + "signature": "st.components.v1.declare_component(name, path=None, url=None)", + "description": "

Create and register a custom component.

\n", + "args": [ + { + "name": "name", + "type_name": "str", + "is_optional": false, + "description": "

A short, descriptive name for the component. Like, "slider".

\n", + "default": null + }, + { + "name": "path", + "type_name": "str or None", + "is_optional": false, + "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", + "default": null + }, + { + "name": "url", + "type_name": "str or None", + "is_optional": false, + "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "CustomComponent", + "is_generator": false, + "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/components/v1/components.py#L262" + }, + "streamlit.components.v1.html": { + "name": "html", + "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", + "description": "

Display an HTML string in an iframe.

\n", + "args": [ + { + "name": "html", + "type_name": "str", + "is_optional": false, + "description": "

The HTML string to embed in the iframe.

\n", + "default": null + }, + { + "name": "width", + "type_name": "int", + "is_optional": false, + "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", + "default": "the" + }, + { + "name": "height", + "type_name": "int", + "is_optional": false, + "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", + "default": "150" + }, + { + "name": "scrolling", + "type_name": "bool", + "is_optional": false, + "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", + "default": "False" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/iframe.py#L59" + }, + "streamlit.components.v1.iframe": { + "name": "iframe", + "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", + "description": "

Load a remote URL in an iframe.

\n", + "args": [ + { + "name": "src", + "type_name": "str", + "is_optional": false, + "description": "

The URL of the page to embed.

\n", + "default": null + }, + { + "name": "width", + "type_name": "int", + "is_optional": false, + "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", + "default": "the" + }, + { + "name": "height", + "type_name": "int", + "is_optional": false, + "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", + "default": "150" + }, + { + "name": "scrolling", + "type_name": "bool", + "is_optional": false, + "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", + "default": "False" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/iframe.py#L25" + }, + "DeltaGenerator.add_rows": { + "name": "add_rows", + "signature": "element.add_rows(data=None, **kwargs)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", + "description": "

Concatenate a dataframe to the bottom of the current one.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", + "is_optional": false, + "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "**kwargs", + "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", + "is_optional": false, + "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L894" + }, + "DeltaGenerator.altair_chart": { + "name": "altair_chart", + "signature": "element.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", + "description": "

Display a chart using the Altair library.

\n", + "args": [ + { + "name": "altair_chart", + "type_name": "altair.Chart", + "is_optional": false, + "description": "

The Altair chart object to display.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", + "default": null + }, + { + "name": "theme", + "type_name": "\"streamlit\" or None", + "is_optional": false, + "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", + "default": "behavior" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L766" + }, + "DeltaGenerator.area_chart": { + "name": "area_chart", + "signature": "element.area_chart(data=None, *, x=None, y=None, color=None, width=0, height=0, use_container_width=True)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns = ['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n

You can also choose different columns to use for x and y, as well as set\nthe color dynamically based on a 3rd column (assuming your dataframe is in\nlong format):

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame({\n    'col1' : np.random.randn(20),\n    'col2' : np.random.randn(20),\n    'col3' : np.random.choice(['A', 'B', 'C'], 20)\n})\n\nst.area_chart(\n    chart_data,\n    x = 'col1',\n    y = 'col2',\n    color = 'col3'\n)\n
\n\n \n

Finally, if your dataframe is in wide format, you can group multiple\ncolumns under the y argument to show multiple series with different\ncolors:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['col1', 'col2', 'col3'])\n\nst.area_chart(\n    chart_data,\n    x='col1',\n    y=['col2', 'col3'],\n    color=['#FF0000','#0000FF']  # Optional\n)\n
\n\n \n
\n", + "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", + "is_optional": false, + "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "x", + "type_name": "str or None", + "is_optional": false, + "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "y", + "type_name": "str, sequence of str, or None", + "is_optional": false, + "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str, tuple, sequence of str, sequence of tuple, or None", + "is_optional": false, + "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For an area chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", + "default": "color" + }, + { + "name": "width", + "type_name": "int", + "is_optional": false, + "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int", + "is_optional": false, + "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L409" + }, + "DeltaGenerator.audio": { + "name": "audio", + "signature": "element.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", + "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", + "description": "

Display an audio player.

\n", + "args": [ + { + "name": "data", + "type_name": "str, bytes, BytesIO, numpy.ndarray, or file", + "is_optional": false, + "description": "

Raw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", + "default": "channel" + }, + { + "name": "format", + "type_name": "str", + "is_optional": false, + "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", + "default": "s" + }, + { + "name": "start_time", + "type_name": "int", + "is_optional": false, + "description": "

The time from which this element should start playing.

\n", + "default": null + }, + { + "name": "sample_rate", + "type_name": "int or None", + "is_optional": false, + "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/media.py#L42" + }, + "DeltaGenerator.balloons": { + "name": "balloons", + "signature": "element.balloons()", + "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", + "description": "

Draw celebratory balloons.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/balloons.py#L25" + }, + "DeltaGenerator.bar_chart": { + "name": "bar_chart", + "signature": "element.bar_chart(data=None, *, x=None, y=None, color=None, width=0, height=0, use_container_width=True)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n

You can also choose different columns to use for x and y, as well as set\nthe color dynamically based on a 3rd column (assuming your dataframe is in\nlong format):

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame({\n    'col1' : np.random.randn(20),\n    'col2' : np.random.randn(20),\n    'col3' : np.random.choice(['A','B','C'],20)\n})\n\nst.bar_chart(\n    chart_data,\n    x='col1',\n    y='col2',\n    color='col3'\n)\n
\n\n \n

Finally, if your dataframe is in wide format, you can group multiple\ncolumns under the y argument to show multiple series with different\ncolors:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['col1', 'col2', 'col3'])\n\nst.bar_chart(\n    chart_data,\n    x='col1',\n    y=['col2', 'col3'],\n    color=['#FF0000','#0000FF']  # Optional\n)\n
\n\n \n
\n", + "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", + "is_optional": false, + "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "x", + "type_name": "str or None", + "is_optional": false, + "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "y", + "type_name": "str, sequence of str, or None", + "is_optional": false, + "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str, tuple, sequence of str, sequence of tuple, or None", + "is_optional": false, + "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For a bar chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", + "default": "color" + }, + { + "name": "width", + "type_name": "int", + "is_optional": false, + "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int", + "is_optional": false, + "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L587" + }, + "DeltaGenerator.bokeh_chart": { + "name": "bokeh_chart", + "signature": "element.bokeh_chart(figure, use_container_width=False)", + "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", + "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", + "args": [ + { + "name": "figure", + "type_name": "bokeh.plotting.figure.Figure", + "is_optional": false, + "description": "

A Bokeh figure to plot.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/bokeh_chart.py#L36" + }, + "DeltaGenerator.button": { + "name": "button", + "signature": "element.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", + "example": "
\n
\nimport streamlit as st\n\nst.button("Reset", type="primary")\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", + "description": "

Display a button widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", + "default": null + }, + { + "name": "on_click", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this button is clicked.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"secondary\" or \"primary\"", + "is_optional": false, + "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/button.py#L61" + }, + "DeltaGenerator.camera_input": { + "name": "camera_input", + "signature": "element.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", + "description": "

Display a widget that returns pictures from the user's webcam.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

A tooltip that gets displayed next to the camera input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "None or UploadedFile", + "is_generator": false, + "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/camera_input.py#L78" + }, + "DeltaGenerator.caption": { + "name": "caption", + "signature": "element.caption(body, unsafe_allow_html=False, *, help=None)", + "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", + "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "unsafe_allow_html", + "type_name": "bool", + "is_optional": false, + "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the caption.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L146" + }, + "DeltaGenerator.chat_input": { + "name": "chat_input", + "signature": "element.chat_input(placeholder=\"Your message\", *, key=None, max_chars=None, disabled=False, on_submit=None, args=None, kwargs=None)", + "examples": "
\n
\nimport streamlit as st\n\nprompt = st.chat_input("Say something")\nif prompt:\n    st.write(f"User has sent the following prompt: {prompt}")\n
\n\n \n
\n", + "description": "

Display a chat input widget.

\n
\n

Warning

\n

Chat input can only be used once per app page and inside the main area of the app.\nIt cannot be used in the sidebar, columns, expanders, forms or tabs.\nWe plan to support this in the future.

\n
\n", + "args": [ + { + "name": "placeholder", + "type_name": "str", + "is_optional": false, + "description": "

A placeholder text shown when the chat input is empty. Defaults to\n"Your message". For accessibility reasons, you should not use an\nempty string.

\n", + "default": "s" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget based on\nits content. Multiple widgets of the same type may not share the same key.

\n", + "default": null + }, + { + "name": "max_chars", + "type_name": "int or None", + "is_optional": false, + "description": "

The maximum number of characters that can be entered. If None\n(default), there will be no maximum.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

Whether the chat input should be disabled. Defaults to False.

\n", + "default": "False" + }, + { + "name": "on_submit", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when the chat input's value is submitted.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "str or None", + "is_generator": false, + "description": "

The current (non-empty) value of the text input widget on the last\nrun of the app, None otherwise.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/chat.py#L214" + }, + "DeltaGenerator.chat_message": { + "name": "chat_message", + "signature": "element.chat_message(name, *, avatar=None)", + "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\nimport numpy as np\n\nwith st.chat_message("user"):\n    st.write("Hello \ud83d\udc4b")\n    st.line_chart(np.random.randn(30, 3))\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\nmessage = st.chat_message("assistant")\nmessage.write("Hello human")\nmessage.bar_chart(np.random.randn(30, 3))\n
\n\n \n
\n", + "description": "

Insert a chat message container.

\n

To add elements to the returned container, you can use with notation\n(preferred) or just call methods directly on the returned object. See the\nexamples below.

\n", + "args": [ + { + "name": "name", + "type_name": "\"user\", \"assistant\", \"ai\", \"human\", or str", + "is_optional": false, + "description": "

The name of the message author. Can be "human"/"user" or\n"ai"/"assistant" to enable preset styling and avatars.

\n

Currently, the name is not shown in the UI but is only set as an\naccessibility label. For accessibility reasons, you should not use\nan empty string.

\n", + "default": null + }, + { + "name": "avatar", + "type_name": "str, numpy.ndarray, or BytesIO", + "is_optional": false, + "description": "

The avatar shown next to the message. Can be one of:

\n
    \n
  • A single emoji, e.g. "\ud83e\uddd1\u200d\ud83d\udcbb", "\ud83e\udd16", "\ud83e\udd96". Shortcodes are not supported.
    • \n
  • \n
    An image using one of the formats allowed for st.image: path of a local
    \n
    image file; URL to fetch the image from; array of shape (w,h) or (w,h,1)\nfor a monochrome image, (w,h,3) for a color image, or (w,h,4) for an RGBA image.
    \n
    \n
    • \n
\n

If None (default), uses default icons if name is "user",\n"assistant", "ai", "human" or the first letter of the name value.

\n", + "default": "icons" + } + ], + "returns": [ + { + "type_name": "Container", + "is_generator": false, + "description": "

A single container that can hold multiple elements.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/chat.py#L121" + }, + "DeltaGenerator.checkbox": { + "name": "checkbox", + "signature": "element.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", + "description": "

Display a checkbox widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "bool", + "is_optional": false, + "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this checkbox's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

Whether or not the checkbox is checked.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/checkbox.py#L53" + }, + "DeltaGenerator.code": { + "name": "code", + "signature": "element.code(body, language=\"python\", line_numbers=False)", + "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", + "description": "

Display a code block with optional syntax highlighting.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display as code.

\n", + "default": null + }, + { + "name": "language", + "type_name": "str or None", + "is_optional": false, + "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", + "default": "s" + }, + { + "name": "line_numbers", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", + "default": "s" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/code.py#L27" + }, + "DeltaGenerator.color_picker": { + "name": "color_picker", + "signature": "element.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", + "description": "

Display a color picker widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "str", + "is_optional": false, + "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", + "default": "black" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the color picker.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "str", + "is_generator": false, + "description": "

The selected color as a hex string.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/color_picker.py#L53" + }, + "DeltaGenerator.columns": { + "name": "columns", + "signature": "element.columns(spec, *, gap=\"small\")", + "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", + "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", + "args": [ + { + "name": "spec", + "type_name": "int or iterable of numbers", + "is_optional": false, + "description": "

Controls the number and width of columns to insert. Can be one of:

\n
    \n
  • An integer that specifies the number of columns. All columns have equal\nwidth in this case.
    • \n
  • An iterable of numbers (int or float) that specify the relative width of\neach column. E.g. [0.7, 0.3] creates two columns where the first\none takes up 70% of the available with and the second one takes up 30%.\nOr [1, 2, 3] creates three columns where the second one is two times\nthe width of the first one, and the third one is three times that width.
    • \n
\n", + "default": null + }, + { + "name": "gap", + "type_name": "\"small\", \"medium\", or \"large\"", + "is_optional": false, + "description": "

The size of the gap between the columns. Defaults to "small". This\nargument can only be supplied by keyword.

\n", + "default": "s" + } + ], + "returns": [ + { + "type_name": "list of containers", + "is_generator": false, + "description": "

A list of container objects.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L79" + }, + "DeltaGenerator.container": { + "name": "container", + "signature": "element.container()", + "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", + "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L31" + }, + "DeltaGenerator.data_editor": { + "name": "data_editor", + "signature": "element.data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", + "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", + "is_optional": false, + "description": "

The data to edit in the data editor.

\n
\n

Note

\n
    \n
  • Styles from pandas.Styler will only be applied to non-editable columns.
    • \n
  • Mixing data types within a column can make the column uneditable.
    • \n
  • Additionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.
    • \n
\n
\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", + "default": "False" + }, + { + "name": "hide_index", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", + "default": null + }, + { + "name": "column_order", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", + "default": null + }, + { + "name": "column_config", + "type_name": "dict or None", + "is_optional": false, + "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", + "default": null + }, + { + "name": "num_rows", + "type_name": "\"fixed\" or \"dynamic\"", + "is_optional": false, + "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool or iterable of str", + "is_optional": false, + "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str", + "is_optional": false, + "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this data_editor's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", + "is_generator": false, + "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/data_editor.py#L529" + }, + "DeltaGenerator.dataframe": { + "name": "dataframe", + "signature": "element.dataframe(data=None, width=None, height=None, *, use_container_width=False, hide_index=None, column_order=None, column_config=None)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n

Or you can customize the dataframe via column_config, hide_index, or column_order:

\n
\nimport random\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    {\n        "name": ["Roadmap", "Extras", "Issues"],\n        "url": ["https://roadmap.streamlit.app", "https://extras.streamlit.app", "https://issues.streamlit.app"],\n        "stars": [random.randint(0, 1000) for _ in range(3)],\n        "views_history": [[random.randint(0, 5000) for _ in range(30)] for _ in range(3)],\n    }\n)\nst.dataframe(\n    df,\n    column_config={\n        "name": "App name",\n        "stars": st.column_config.NumberColumn(\n            "Github Stars",\n            help="Number of stars on GitHub",\n            format="%d \u2b50",\n        ),\n        "url": st.column_config.LinkColumn("App URL"),\n        "views_history": st.column_config.LineChartColumn(\n            "Views (past 30 days)", y_min=0, y_max=5000\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Display a dataframe as an interactive table.

\n

This command works with dataframes from Pandas, PyArrow, Snowpark, and PySpark.\nIt can also display several other types that can be converted to dataframes,\ne.g. numpy arrays, lists, sets and dictionaries.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", + "is_optional": false, + "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.

\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", + "default": "height" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "hide_index", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", + "default": null + }, + { + "name": "column_order", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", + "default": null + }, + { + "name": "column_config", + "type_name": "dict or None", + "is_optional": false, + "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat. This needs to be a dictionary where each key is a column name and\nthe value is one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L44" + }, + "DeltaGenerator.date_input": { + "name": "date_input", + "signature": "element.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, format=\"YYYY/MM/DD\", disabled=False, label_visibility=\"visible\")", + "examples": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input("When's your birthday", datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n 
\nimport datetime\nimport streamlit as st\n\ntoday = datetime.datetime.now()\nnext_year = today.year + 1\njan_1 = datetime.date(next_year, 1, 1)\ndec_31 = datetime.date(next_year, 12, 31)\n\nd = st.date_input(\n    "Select your vacation for next year",\n    (jan_1, datetime.date(next_year, 1, 7)),\n    jan_1,\n    dec_31,\n    format="MM.DD.YYYY",\n)\nd\n
\n\n \n
\n", + "description": "

Display a date input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", + "is_optional": false, + "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", + "default": "today" + }, + { + "name": "min_value", + "type_name": "datetime.date or datetime.datetime", + "is_optional": false, + "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", + "default": "value" + }, + { + "name": "max_value", + "type_name": "datetime.date or datetime.datetime", + "is_optional": false, + "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", + "default": "value" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this date_input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "format", + "type_name": "str", + "is_optional": false, + "description": "

A format string controlling how the interface should display dates.\nSupports \u201cYYYY/MM/DD\u201d (default), \u201cDD/MM/YYYY\u201d, or \u201cMM/DD/YYYY\u201d.\nYou may also use a period (.) or hyphen (-) as separators.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "datetime.date or a tuple with 0-2 dates", + "is_generator": false, + "description": "

The current value of the date input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/time_widgets.py#L415" + }, + "DeltaGenerator.dg": { + "name": "dg", + "signature": "element.dg", + "description": "

Get our DeltaGenerator.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L156" + }, + "DeltaGenerator.divider": { + "name": "divider", + "signature": "element.divider()", + "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", + "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L258" + }, + "DeltaGenerator.download_button": { + "name": "download_button", + "signature": "element.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", + "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", + "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "data", + "type_name": "str or bytes or file", + "is_optional": false, + "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", + "default": null + }, + { + "name": "file_name", + "type_name": "str", + "is_optional": false, + "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", + "default": null + }, + { + "name": "mime", + "type_name": "str or None", + "is_optional": false, + "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", + "default": "s" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", + "default": null + }, + { + "name": "on_click", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this button is clicked.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"secondary\" or \"primary\"", + "is_optional": false, + "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/button.py#L170" + }, + "DeltaGenerator.empty": { + "name": "empty", + "signature": "element.empty()", + "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", + "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/empty.py#L24" + }, + "DeltaGenerator.error": { + "name": "error", + "signature": "element.error(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", + "description": "

Display error message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The error text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L27" + }, + "DeltaGenerator.exception": { + "name": "exception", + "signature": "element.exception(exception)", + "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", + "description": "

Display an exception.

\n", + "args": [ + { + "name": "exception", + "type_name": "Exception", + "is_optional": false, + "description": "

The exception to display.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/exception.py#L50" + }, + "DeltaGenerator.expander": { + "name": "expander", + "signature": "element.expander(label, expanded=False)", + "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", + "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "expanded", + "type_name": "bool", + "is_optional": false, + "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", + "default": "s" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L319" + }, + "DeltaGenerator.experimental_data_editor": { + "name": "experimental_data_editor", + "signature": "element.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", + "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", + "is_optional": false, + "description": "

The data to edit in the data editor.

\n
\n

Note

\n
    \n
  • Styles from pandas.Styler will only be applied to non-editable columns.
    • \n
  • Mixing data types within a column can make the column uneditable.
    • \n
  • Additionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.
    • \n
\n
\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", + "default": "False" + }, + { + "name": "hide_index", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", + "default": null + }, + { + "name": "column_order", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", + "default": null + }, + { + "name": "column_config", + "type_name": "dict or None", + "is_optional": false, + "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", + "default": null + }, + { + "name": "num_rows", + "type_name": "\"fixed\" or \"dynamic\"", + "is_optional": false, + "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool or iterable of str", + "is_optional": false, + "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str", + "is_optional": false, + "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this data_editor's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", + "is_generator": false, + "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/data_editor.py#L529" + }, + "DeltaGenerator.file_uploader": { + "name": "file_uploader", + "signature": "element.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", + "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "type", + "type_name": "str or list of str or None", + "is_optional": false, + "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", + "default": "None" + }, + { + "name": "accept_multiple_files", + "type_name": "bool", + "is_optional": false, + "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", + "default": "False" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

A tooltip that gets displayed next to the file uploader.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "None or UploadedFile or list of UploadedFile", + "is_generator": false, + "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/file_uploader.py#L222" + }, + "DeltaGenerator.form": { + "name": "form", + "signature": "element.form(key, clear_on_submit=False)", + "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n\n \n
\n", + "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
  • Within a form, the only widget that can have a callback function is\nst.form_submit_button.
    • \n
\n", + "args": [ + { + "name": "key", + "type_name": "str", + "is_optional": false, + "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", + "default": null + }, + { + "name": "clear_on_submit", + "type_name": "bool", + "is_optional": false, + "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", + "default": "values" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/form.py#L118" + }, + "DeltaGenerator.form_submit_button": { + "name": "form_submit_button", + "signature": "element.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", + "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", + "default": "s" + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", + "default": "None" + }, + { + "name": "on_click", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this button is clicked.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"secondary\" or \"primary\"", + "is_optional": false, + "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

True if the button was clicked.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/form.py#L218" + }, + "DeltaGenerator.graphviz_chart": { + "name": "graphviz_chart", + "signature": "element.graphviz_chart(figure_or_dot, use_container_width=False)", + "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", + "description": "

Display a graph using the dagre-d3 library.

\n", + "args": [ + { + "name": "figure_or_dot", + "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", + "is_optional": false, + "description": "

The Graphlib graph object or dot string to display

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/graphviz_chart.py#L39" + }, + "DeltaGenerator.header": { + "name": "header", + "signature": "element.header(body, anchor=None, *, help=None, divider=False)", + "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header with a divider', divider='rainbow')\nst.header('_Streamlit_ is :blue[cool] :sunglasses:')\n
\n\n \n
\n", + "description": "

Display text in header formatting.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "anchor", + "type_name": "str or False", + "is_optional": false, + "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the header.

\n", + "default": null + }, + { + "name": "divider", + "type_name": "bool or \u201cblue\u201d, \u201cgreen\u201d, \u201corange\u201d, \u201cred\u201d, \u201cviolet\u201d, \u201cgray\u201d/\"grey\", or \u201crainbow\u201d", + "is_optional": false, + "description": "

Shows a colored divider below the header. If True, successive\nheaders will cycle through divider colors. That is, the first\nheader will have a blue line, the second header will have a\ngreen line, and so on. If a string, the color can be set to one of\nthe following: blue, green, orange, red, violet, gray/grey, or\nrainbow.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/heading.py#L41" + }, + "DeltaGenerator.help": { + "name": "help", + "signature": "element.help(obj=)", + "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", + "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", + "args": [ + { + "name": "obj", + "type_name": "any", + "is_optional": false, + "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/doc_string.py#L48" + }, + "DeltaGenerator.id": { + "name": "id", + "signature": "element.id" + }, + "DeltaGenerator.image": { + "name": "image", + "signature": "element.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", + "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", + "description": "

Display an image or list of images.

\n", + "args": [ + { + "name": "image", + "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", + "is_optional": false, + "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", + "default": null + }, + { + "name": "caption", + "type_name": "str or list of str", + "is_optional": false, + "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", + "default": "image" + }, + { + "name": "use_column_width", + "type_name": "\"auto\", \"always\", \"never\", or bool", + "is_optional": false, + "description": "

If "auto", set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf "always" or True, set the image's width to the column width.\nIf "never" or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", + "default": null + }, + { + "name": "clamp", + "type_name": "bool", + "is_optional": false, + "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", + "default": null + }, + { + "name": "channels", + "type_name": "\"RGB\" or \"BGR\"", + "is_optional": false, + "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to "RGB", meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to "BGR", instead.

\n", + "default": "s" + }, + { + "name": "output_format", + "type_name": "\"JPEG\", \"PNG\", or \"auto\"", + "is_optional": false, + "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to "auto" which identifies the compression type based\non the type and format of the image argument.

\n", + "default": "s" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/image.py#L87" + }, + "DeltaGenerator.info": { + "name": "info", + "signature": "element.info(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", + "description": "

Display an informational message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The info text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L91" + }, + "DeltaGenerator.json": { + "name": "json", + "signature": "element.json(body, *, expanded=True)", + "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", + "description": "

Display object or string as a pretty-printed JSON string.

\n", + "args": [ + { + "name": "body", + "type_name": "object or str", + "is_optional": false, + "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", + "default": null + }, + { + "name": "expanded", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", + "default": "True" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/json.py#L35" + }, + "DeltaGenerator.latex": { + "name": "latex", + "signature": "element.latex(body, *, help=None)", + "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", + "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", + "args": [ + { + "name": "body", + "type_name": "str or SymPy expression", + "is_optional": false, + "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L210" + }, + "DeltaGenerator.line_chart": { + "name": "line_chart", + "signature": "element.line_chart(data=None, *, x=None, y=None, color=None, width=0, height=0, use_container_width=True)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n

You can also choose different columns to use for x and y, as well as set\nthe color dynamically based on a 3rd column (assuming your dataframe is in\nlong format):

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame({\n    'col1' : np.random.randn(20),\n    'col2' : np.random.randn(20),\n    'col3' : np.random.choice(['A','B','C'], 20)\n})\n\nst.line_chart(\n    chart_data,\n    x = 'col1',\n    y = 'col2',\n    color = 'col3'\n)\n
\n\n \n

Finally, if your dataframe is in wide format, you can group multiple\ncolumns under the y argument to show multiple lines with different\ncolors:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns = ['col1', 'col2', 'col3'])\n\nst.line_chart(\n    chart_data,\n    x = 'col1',\n    y = ['col2', 'col3'],\n    color = ['#FF0000', '#0000FF']  # Optional\n)\n
\n\n \n
\n", + "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", + "is_optional": false, + "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "x", + "type_name": "str or None", + "is_optional": false, + "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "y", + "type_name": "str, sequence of str, or None", + "is_optional": false, + "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str, tuple, sequence of str, sequence of tuple, or None", + "is_optional": false, + "description": "

The color to use for different lines in this chart. This argument\ncan only be supplied by keyword.

\n

For a line chart with just one line, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto lines of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby", then\nthose 1000 datapoints will be grouped into three lines, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into three lines, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe lines in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", + "default": "color" + }, + { + "name": "width", + "type_name": "int", + "is_optional": false, + "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int", + "is_optional": false, + "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L231" + }, + "DeltaGenerator.map": { + "name": "map", + "signature": "element.map(data=None, *, latitude=None, longitude=None, color=None, size=None, zoom=None, use_container_width=True)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n

You can also customize the size and color of the datapoints:

\n
\nst.map(df, size=20, color='#0044ff')\n
\n

And finally, you can choose different columns to use for the latitude\nand longitude components, as well as set size and color of each\ndatapoint dynamically based on other columns:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame({\n    "col1": np.random.randn(1000) / 50 + 37.76,\n    "col2": np.random.randn(1000) / 50 + -122.4,\n    "col3": np.random.randn(1000) * 100,\n    "col4": np.random.rand(1000, 4).tolist(),\n})\n\nst.map(df,\n    latitude='col1',\n    longitude='col2',\n    size='col3',\n    color='col4')\n
\n\n \n
\n", + "description": "

Display a map with a scatterplot overlaid onto it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", + "is_optional": false, + "description": "

The data to be plotted.

\n", + "default": null + }, + { + "name": "latitude", + "type_name": "str or None", + "is_optional": false, + "description": "

The name of the column containing the latitude coordinates of\nthe datapoints in the chart. This argument can only be supplied\nby keyword.

\n

If None, the latitude data will come from any column named 'lat',\n'latitude', 'LAT', or 'LATITUDE'.

\n", + "default": null + }, + { + "name": "longitude", + "type_name": "str or None", + "is_optional": false, + "description": "

The name of the column containing the longitude coordinates of\nthe datapoints in the chart. This argument can only be supplied\nby keyword.

\n

If None, the longitude data will come from any column named 'lon',\n'longitude', 'LON', or 'LONGITUDE'.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str or tuple or None", + "is_optional": false, + "description": "

The color of the circles representing each datapoint. This argument\ncan only be supplied by keyword.

\n

Can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
  • The name of the column to use for the color. Cells in this column\nshould contain colors represented as a hex string or color tuple,\nas described above.
    • \n
\n", + "default": "color" + }, + { + "name": "size", + "type_name": "str or float or None", + "is_optional": false, + "description": "

The size of the circles representing each point, in meters. This\nargument can only be supplied by keyword.

\n

This can be:

\n
    \n
  • None, to use the default size.
    • \n
  • A number like 100, to specify a single size to use for all\ndatapoints.
    • \n
  • The name of the column to use for the size. This allows each\ndatapoint to be represented by a circle of a different size.
    • \n
\n", + "default": "size" + }, + { + "name": "zoom", + "type_name": "int", + "is_optional": false, + "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/map.py#L91" + }, + "DeltaGenerator.markdown": { + "name": "markdown", + "signature": "element.markdown(body, unsafe_allow_html=False, *, help=None)", + "examples": "
\n
\nimport streamlit as st\n\nst.markdown("*Streamlit* is **really** ***cool***.")\nst.markdown('''\n    :red[Streamlit] :orange[can] :green[write] :blue[text] :violet[in]\n    :gray[pretty] :rainbow[colors].''')\nst.markdown("Here's a bouquet &mdash;\\\n            :tulip::cherry_blossom::rose::hibiscus::sunflower::blossom:")\n\nmulti = '''If you end a line with two spaces,\na soft return is used for the next line.\n\nTwo (or more) newline characters in a row will result in a hard return.\n'''\nst.markdown(multi)\n
\n\n \n
\n", + "description": "

Display string formatted as Markdown.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "unsafe_allow_html", + "type_name": "bool", + "is_optional": false, + "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L31" + }, + "DeltaGenerator.metric": { + "name": "metric", + "signature": "element.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", + "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "value", + "type_name": "int, float, str, or None", + "is_optional": false, + "description": "

Value of the metric. None is rendered as a long dash.

\n", + "default": null + }, + { + "name": "delta", + "type_name": "int, float, str, or None", + "is_optional": false, + "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", + "default": null + }, + { + "name": "delta_color", + "type_name": "\"normal\", \"inverse\", or \"off\"", + "is_optional": false, + "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the metric label.

\n", + "default": null + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/metric.py#L46" + }, + "DeltaGenerator.multiselect": { + "name": "multiselect", + "signature": "element.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, max_selections=None, placeholder=\"Choose an option\", disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", + "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", + "default": null + }, + { + "name": "default", + "type_name": "[V], V, or None", + "is_optional": false, + "description": "

List of default values. Can also be a single value.

\n", + "default": "values" + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this multiselect's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "max_selections", + "type_name": "int", + "is_optional": false, + "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str", + "is_optional": false, + "description": "

A string to display when no options are selected. Defaults to 'Choose an option'.

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "list", + "is_generator": false, + "description": "

A list with the selected options

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/multiselect.py#L146" + }, + "DeltaGenerator.number_input": { + "name": "number_input", + "signature": "element.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", + "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "min_value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", + "default": null + }, + { + "name": "max_value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", + "default": null + }, + { + "name": "value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", + "default": "min_value" + }, + { + "name": "step", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", + "default": "1" + }, + { + "name": "format", + "type_name": "str or None", + "is_optional": false, + "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this number_input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "int or float", + "is_generator": false, + "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/number_input.py#L67" + }, + "DeltaGenerator.plotly_chart": { + "name": "plotly_chart", + "signature": "element.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", + "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", + "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", + "args": [ + { + "name": "figure_or_data", + "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", + "is_optional": false, + "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", + "default": null + }, + { + "name": "sharing", + "type_name": "\"streamlit\", \"private\", \"secret\", or \"public\"", + "is_optional": false, + "description": "

Use "streamlit" to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", + "default": null + }, + { + "name": "theme", + "type_name": "\"streamlit\" or None", + "is_optional": false, + "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", + "default": "behavior" + }, + { + "name": "**kwargs", + "type_name": null, + "is_optional": null, + "description": "

Any argument accepted by Plotly's plot() function.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/plotly_chart.py#L81" + }, + "DeltaGenerator.progress": { + "name": "progress", + "signature": "element.progress(value, text=None)", + "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", + "description": "

Display a progress bar.

\n", + "args": [ + { + "name": "value", + "type_name": "int or float", + "is_optional": false, + "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", + "default": null + }, + { + "name": "text", + "type_name": "str or None", + "is_optional": false, + "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/progress.py#L66" + }, + "DeltaGenerator.pydeck_chart": { + "name": "pydeck_chart", + "signature": "element.pydeck_chart(pydeck_obj=None, use_container_width=False)", + "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", + "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", + "args": [ + { + "name": "pydeck_obj", + "type_name": "pydeck.Deck or None", + "is_optional": false, + "description": "

Object specifying the PyDeck chart to draw.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/deck_gl_json_chart.py#L37" + }, + "DeltaGenerator.pyplot": { + "name": "pyplot", + "signature": "element.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", + "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", + "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", + "description": "

Display a matplotlib.pyplot figure.

\n", + "args": [ + { + "name": "fig", + "type_name": "Matplotlib Figure", + "is_optional": false, + "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", + "default": null + }, + { + "name": "clear_figure", + "type_name": "bool", + "is_optional": false, + "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", + "default": "based" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. Defaults to True.

\n", + "default": "s" + }, + { + "name": "**kwargs", + "type_name": "any", + "is_optional": false, + "description": "

Arguments to pass to Matplotlib's savefig function.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/pyplot.py#L38" + }, + "DeltaGenerator.radio": { + "name": "radio", + "signature": "element.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, captions=None, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What's your favorite movie genre",\n    [":rainbow[Comedy]", "***Drama***", "Documentary :movie_camera:"],\n    captions = ["Laugh out loud.", "Get the popcorn.", "Never stop learning."])\n\nif genre == ':rainbow[Comedy]':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", + "description": "

Display a radio button widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the radio options. Labels can include markdown as\ndescribed in the label parameter and will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", + "default": null + }, + { + "name": "index", + "type_name": "int", + "is_optional": false, + "description": "

The index of the preselected option on first render.

\n", + "default": null + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the radio.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this radio's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "horizontal", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", + "default": "false" + }, + { + "name": "captions", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

A list of captions to show below each radio button. If None (default),\nno captions are shown.

\n", + "default": null + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "any", + "is_generator": false, + "description": "

The selected option.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/radio.py#L76" + }, + "DeltaGenerator.select_slider": { + "name": "select_slider", + "signature": "element.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", + "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", + "default": null + }, + { + "name": "value", + "type_name": "a supported type or a tuple/list of supported types or None", + "is_optional": false, + "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", + "default": "first" + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the select slider.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this select_slider's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "any value or tuple of any value", + "is_generator": false, + "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/select_slider.py#L107" + }, + "DeltaGenerator.selectbox": { + "name": "selectbox", + "signature": "element.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=\"Select...\", disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", + "description": "

Display a select widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", + "default": null + }, + { + "name": "index", + "type_name": "int", + "is_optional": false, + "description": "

The index of the preselected option on first render.

\n", + "default": null + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this selectbox's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str", + "is_optional": false, + "description": "

A string to display when no options are selected. Defaults to 'Select...'.

\n

A selectbox can't be empty, so a placeholder only displays while a\nuser's cursor is in a selectbox after manually deleting the current\nselection. A future update will allow selectboxes to be empty.

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "any", + "is_generator": false, + "description": "

The selected option

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/selectbox.py#L72" + }, + "DeltaGenerator.slider": { + "name": "slider", + "signature": "element.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", + "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "min_value", + "type_name": "a supported type or None", + "is_optional": false, + "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", + "default": "0" + }, + { + "name": "max_value", + "type_name": "a supported type or None", + "is_optional": false, + "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", + "default": "100" + }, + { + "name": "value", + "type_name": "a supported type or a tuple/list of supported types or None", + "is_optional": false, + "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", + "default": "min_value" + }, + { + "name": "step", + "type_name": "int, float, timedelta, or None", + "is_optional": false, + "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", + "default": "1" + }, + { + "name": "format", + "type_name": "str or None", + "is_optional": false, + "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the slider.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this slider's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", + "is_generator": false, + "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/slider.py#L173" + }, + "DeltaGenerator.snow": { + "name": "snow", + "signature": "element.snow()", + "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", + "description": "

Draw celebratory snowfall.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/snow.py#L25" + }, + "DeltaGenerator.status": { + "name": "status", + "signature": "element.status(label, *, expanded=False, state=\"running\")", + "examples": "
\n

You can use with notation to insert any element into an status container:

\n
\nimport time\nimport streamlit as st\n\nwith st.status("Downloading data..."):\n    st.write("Searching for data...")\n    time.sleep(2)\n    st.write("Found URL.")\n    time.sleep(1)\n    st.write("Downloading data...")\n    time.sleep(1)\n\nst.button('Rerun')\n
\n\n \n

You can also use .update() on the container to change the label, state,\nor expanded state:

\n
\nimport time\nimport streamlit as st\n\nwith st.status("Downloading data...", expanded=True) as status:\n    st.write("Searching for data...")\n    time.sleep(2)\n    st.write("Found URL.")\n    time.sleep(1)\n    st.write("Downloading data...")\n    time.sleep(1)\n    status.update(label="Download complete!", state="complete", expanded=False)\n\nst.button('Rerun')\n
\n\n \n
\n", + "description": "

Insert a status container to display output from long-running tasks.

\n

Inserts a container into your app that is typically used to show the status and\ndetails of a process or task. The container can hold multiple elements and can\nbe expanded or collapsed by the user similar to st.expander.\nWhen collapsed, all that is visible is the status icon and label.

\n

The label, state, and expanded state can all be updated by calling .update()\non the returned object. To add elements to the returned container, you can\nuse "with" notation (preferred) or just call methods directly on the returned\nobject.

\n

By default, st.status() initializes in the "running" state. When called using\n"with" notation, it automatically updates to the "complete" state at the end\nof the "with" block. See examples below for more details.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

The initial label of the status container. The label can optionally\ncontain Markdown and supports the following elements: Bold,\nItalics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents)\nrender. Display unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "expanded", + "type_name": "bool", + "is_optional": false, + "description": "

If True, initializes the status container in "expanded" state. Defaults to\nFalse (collapsed).

\n", + "default": "s" + }, + { + "name": "state", + "type_name": "\"running\", \"complete\", or \"error\"", + "is_optional": false, + "description": "

The initial state of the status container which determines which icon is\nshown:

\n
    \n
  • running (default): A spinner icon is shown.
    • \n
  • complete: A checkmark icon is shown.
    • \n
  • error: An error icon is shown.
    • \n
\n", + "default": null + } + ], + "returns": [ + { + "type_name": "StatusContainer", + "is_generator": false, + "description": "

A mutable status container that can hold multiple elements. The label, state,\nand expanded state can be updated after creation via .update().

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L414" + }, + "DeltaGenerator.subheader": { + "name": "subheader", + "signature": "element.subheader(body, anchor=None, *, help=None, divider=False)", + "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader with a divider', divider='rainbow')\nst.subheader('_Streamlit_ is :blue[cool] :sunglasses:')\n
\n\n \n
\n", + "description": "

Display text in subheader formatting.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "anchor", + "type_name": "str or False", + "is_optional": false, + "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the subheader.

\n", + "default": null + }, + { + "name": "divider", + "type_name": "bool or \u201cblue\u201d, \u201cgreen\u201d, \u201corange\u201d, \u201cred\u201d, \u201cviolet\u201d, \u201cgray\u201d/\"grey\", or \u201crainbow\u201d", + "is_optional": false, + "description": "

Shows a colored divider below the header. If True, successive\nheaders will cycle through divider colors. That is, the first\nheader will have a blue line, the second header will have a\ngreen line, and so on. If a string, the color can be set to one of\nthe following: blue, green, orange, red, violet, gray/grey, or\nrainbow.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/heading.py#L111" + }, + "DeltaGenerator.success": { + "name": "success", + "signature": "element.success(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", + "description": "

Display a success message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The success text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L124" + }, + "DeltaGenerator.table": { + "name": "table", + "signature": "element.table(data=None)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", + "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", + "is_optional": false, + "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L193" + }, + "DeltaGenerator.tabs": { + "name": "tabs", + "signature": "element.tabs(tabs)", + "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", + "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", + "args": [ + { + "name": "tabs", + "type_name": "list of strings", + "is_optional": false, + "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "list of containers", + "is_generator": false, + "description": "

A list of container objects.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L207" + }, + "DeltaGenerator.text": { + "name": "text", + "signature": "element.text(body, *, help=None)", + "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", + "description": "

Write fixed-width and preformatted text.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the text.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/text.py#L27" + }, + "DeltaGenerator.text_area": { + "name": "text_area", + "signature": "element.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", + "description": "

Display a multi-line text input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "object", + "is_optional": false, + "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", + "default": "height" + }, + { + "name": "max_chars", + "type_name": "int or None", + "is_optional": false, + "description": "

Maximum number of characters allowed in text area.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the textarea.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this text_area's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "str", + "is_generator": false, + "description": "

The current value of the text input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/text_widgets.py#L288" + }, + "DeltaGenerator.text_input": { + "name": "text_input", + "signature": "element.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", + "description": "

Display a single-line text input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "object", + "is_optional": false, + "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", + "default": null + }, + { + "name": "max_chars", + "type_name": "int or None", + "is_optional": false, + "description": "

Max number of characters allowed in text input.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"default\" or \"password\"", + "is_optional": false, + "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", + "default": "s" + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "autocomplete", + "type_name": "str", + "is_optional": false, + "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this text input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "str", + "is_generator": false, + "description": "

The current value of the text input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/text_widgets.py#L72" + }, + "DeltaGenerator.time_input": { + "name": "time_input", + "signature": "element.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", + "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", + "description": "

Display a time input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "datetime.time/datetime.datetime", + "is_optional": false, + "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", + "default": "the" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this time_input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + }, + { + "name": "step", + "type_name": "int or timedelta", + "is_optional": false, + "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", + "default": "900" + } + ], + "returns": [ + { + "type_name": "datetime.time", + "is_generator": false, + "description": "

The current value of the time input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/time_widgets.py#L219" + }, + "DeltaGenerator.title": { + "name": "title", + "signature": "element.title(body, anchor=None, *, help=None)", + "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('_Streamlit_ is :blue[cool] :sunglasses:')\n
\n\n \n
\n", + "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "anchor", + "type_name": "str or False", + "is_optional": false, + "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the title.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/heading.py#L181" + }, + "DeltaGenerator.toast": { + "name": "toast", + "signature": "element.toast(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.toast('Your edited image was saved!', icon='\ud83d\ude0d')\n
\n
\n", + "description": "

Display a short message, known as a notification "toast".

\n

The toast appears in the app's bottom-right corner and disappears after four seconds.

\n
\n

Warning

\n

st.toast is not compatible with Streamlit's caching and\ncannot be called within a cached function.

\n
\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the toast. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/toast.py#L37" + }, + "DeltaGenerator.toggle": { + "name": "toggle", + "signature": "element.toggle(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\non = st.toggle('Activate feature')\n\nif on:\n    st.write('Feature activated!')\n
\n\n \n
\n", + "description": "

Display a toggle widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this toggle is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "bool", + "is_optional": false, + "description": "

Preselect the toggle when it first renders. This will be\ncast to bool internally.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the toggle.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this toggle's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the toggle if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

Whether or not the toggle is checked.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/checkbox.py#L156" + }, + "DeltaGenerator.vega_lite_chart": { + "name": "vega_lite_chart", + "signature": "element.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", + "description": "

Display a chart using the Vega-Lite library.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", + "is_optional": false, + "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "spec", + "type_name": "dict or None", + "is_optional": false, + "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", + "default": null + }, + { + "name": "theme", + "type_name": "\"streamlit\" or None", + "is_optional": false, + "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", + "default": "behavior" + }, + { + "name": "**kwargs", + "type_name": "any", + "is_optional": false, + "description": "

Same as spec, but as keywords.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L819" + }, + "DeltaGenerator.video": { + "name": "video", + "signature": "element.video(data, format=\"video/mp4\", start_time=0)", + "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", + "description": "

Display a video player.

\n", + "args": [ + { + "name": "data", + "type_name": "str, bytes, BytesIO, numpy.ndarray, or file", + "is_optional": false, + "description": "

Raw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", + "default": null + }, + { + "name": "format", + "type_name": "str", + "is_optional": false, + "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", + "default": "s" + }, + { + "name": "start_time", + "type_name": "int", + "is_optional": false, + "description": "

The time from which this element should start playing.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/media.py#L115" + }, + "DeltaGenerator.warning": { + "name": "warning", + "signature": "element.warning(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", + "description": "

Display warning message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The warning text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L59" + }, + "DeltaGenerator.write": { + "name": "write", + "signature": "element.write(*args, unsafe_allow_html=False, **kwargs)", + "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", + "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", + "args": [ + { + "name": "*args", + "type_name": "any", + "is_optional": false, + "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", + "default": null + }, + { + "name": "unsafe_allow_html", + "type_name": "bool", + "is_optional": false, + "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", + "default": "False" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/write.py#L49" + }, + "StatusContainer.add_rows": { + "name": "add_rows", + "signature": "StatusContainer.add_rows(data=None, **kwargs)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", + "description": "

Concatenate a dataframe to the bottom of the current one.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", + "is_optional": false, + "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "**kwargs", + "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", + "is_optional": false, + "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L894" + }, + "StatusContainer.altair_chart": { + "name": "altair_chart", + "signature": "StatusContainer.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", + "description": "

Display a chart using the Altair library.

\n", + "args": [ + { + "name": "altair_chart", + "type_name": "altair.Chart", + "is_optional": false, + "description": "

The Altair chart object to display.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", + "default": null + }, + { + "name": "theme", + "type_name": "\"streamlit\" or None", + "is_optional": false, + "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", + "default": "behavior" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L766" + }, + "StatusContainer.area_chart": { + "name": "area_chart", + "signature": "StatusContainer.area_chart(data=None, *, x=None, y=None, color=None, width=0, height=0, use_container_width=True)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns = ['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n

You can also choose different columns to use for x and y, as well as set\nthe color dynamically based on a 3rd column (assuming your dataframe is in\nlong format):

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame({\n    'col1' : np.random.randn(20),\n    'col2' : np.random.randn(20),\n    'col3' : np.random.choice(['A', 'B', 'C'], 20)\n})\n\nst.area_chart(\n    chart_data,\n    x = 'col1',\n    y = 'col2',\n    color = 'col3'\n)\n
\n\n \n

Finally, if your dataframe is in wide format, you can group multiple\ncolumns under the y argument to show multiple series with different\ncolors:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['col1', 'col2', 'col3'])\n\nst.area_chart(\n    chart_data,\n    x='col1',\n    y=['col2', 'col3'],\n    color=['#FF0000','#0000FF']  # Optional\n)\n
\n\n \n
\n", + "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", + "is_optional": false, + "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "x", + "type_name": "str or None", + "is_optional": false, + "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "y", + "type_name": "str, sequence of str, or None", + "is_optional": false, + "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str, tuple, sequence of str, sequence of tuple, or None", + "is_optional": false, + "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For an area chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", + "default": "color" + }, + { + "name": "width", + "type_name": "int", + "is_optional": false, + "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int", + "is_optional": false, + "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L409" + }, + "StatusContainer.audio": { + "name": "audio", + "signature": "StatusContainer.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", + "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", + "description": "

Display an audio player.

\n", + "args": [ + { + "name": "data", + "type_name": "str, bytes, BytesIO, numpy.ndarray, or file", + "is_optional": false, + "description": "

Raw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", + "default": "channel" + }, + { + "name": "format", + "type_name": "str", + "is_optional": false, + "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", + "default": "s" + }, + { + "name": "start_time", + "type_name": "int", + "is_optional": false, + "description": "

The time from which this element should start playing.

\n", + "default": null + }, + { + "name": "sample_rate", + "type_name": "int or None", + "is_optional": false, + "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/media.py#L42" + }, + "StatusContainer.balloons": { + "name": "balloons", + "signature": "StatusContainer.balloons()", + "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", + "description": "

Draw celebratory balloons.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/balloons.py#L25" + }, + "StatusContainer.bar_chart": { + "name": "bar_chart", + "signature": "StatusContainer.bar_chart(data=None, *, x=None, y=None, color=None, width=0, height=0, use_container_width=True)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n

You can also choose different columns to use for x and y, as well as set\nthe color dynamically based on a 3rd column (assuming your dataframe is in\nlong format):

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame({\n    'col1' : np.random.randn(20),\n    'col2' : np.random.randn(20),\n    'col3' : np.random.choice(['A','B','C'],20)\n})\n\nst.bar_chart(\n    chart_data,\n    x='col1',\n    y='col2',\n    color='col3'\n)\n
\n\n \n

Finally, if your dataframe is in wide format, you can group multiple\ncolumns under the y argument to show multiple series with different\ncolors:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['col1', 'col2', 'col3'])\n\nst.bar_chart(\n    chart_data,\n    x='col1',\n    y=['col2', 'col3'],\n    color=['#FF0000','#0000FF']  # Optional\n)\n
\n\n \n
\n", + "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", + "is_optional": false, + "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "x", + "type_name": "str or None", + "is_optional": false, + "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "y", + "type_name": "str, sequence of str, or None", + "is_optional": false, + "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str, tuple, sequence of str, sequence of tuple, or None", + "is_optional": false, + "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For a bar chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", + "default": "color" + }, + { + "name": "width", + "type_name": "int", + "is_optional": false, + "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int", + "is_optional": false, + "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L587" + }, + "StatusContainer.bokeh_chart": { + "name": "bokeh_chart", + "signature": "StatusContainer.bokeh_chart(figure, use_container_width=False)", + "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", + "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", + "args": [ + { + "name": "figure", + "type_name": "bokeh.plotting.figure.Figure", + "is_optional": false, + "description": "

A Bokeh figure to plot.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/bokeh_chart.py#L36" + }, + "StatusContainer.button": { + "name": "button", + "signature": "StatusContainer.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", + "example": "
\n
\nimport streamlit as st\n\nst.button("Reset", type="primary")\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", + "description": "

Display a button widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", + "default": null + }, + { + "name": "on_click", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this button is clicked.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"secondary\" or \"primary\"", + "is_optional": false, + "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/button.py#L61" + }, + "StatusContainer.camera_input": { + "name": "camera_input", + "signature": "StatusContainer.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", + "description": "

Display a widget that returns pictures from the user's webcam.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

A tooltip that gets displayed next to the camera input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "None or UploadedFile", + "is_generator": false, + "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/camera_input.py#L78" + }, + "StatusContainer.caption": { + "name": "caption", + "signature": "StatusContainer.caption(body, unsafe_allow_html=False, *, help=None)", + "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", + "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "unsafe_allow_html", + "type_name": "bool", + "is_optional": false, + "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the caption.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L146" + }, + "StatusContainer.chat_input": { + "name": "chat_input", + "signature": "StatusContainer.chat_input(placeholder=\"Your message\", *, key=None, max_chars=None, disabled=False, on_submit=None, args=None, kwargs=None)", + "examples": "
\n
\nimport streamlit as st\n\nprompt = st.chat_input("Say something")\nif prompt:\n    st.write(f"User has sent the following prompt: {prompt}")\n
\n\n \n
\n", + "description": "

Display a chat input widget.

\n
\n

Warning

\n

Chat input can only be used once per app page and inside the main area of the app.\nIt cannot be used in the sidebar, columns, expanders, forms or tabs.\nWe plan to support this in the future.

\n
\n", + "args": [ + { + "name": "placeholder", + "type_name": "str", + "is_optional": false, + "description": "

A placeholder text shown when the chat input is empty. Defaults to\n"Your message". For accessibility reasons, you should not use an\nempty string.

\n", + "default": "s" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget based on\nits content. Multiple widgets of the same type may not share the same key.

\n", + "default": null + }, + { + "name": "max_chars", + "type_name": "int or None", + "is_optional": false, + "description": "

The maximum number of characters that can be entered. If None\n(default), there will be no maximum.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

Whether the chat input should be disabled. Defaults to False.

\n", + "default": "False" + }, + { + "name": "on_submit", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when the chat input's value is submitted.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "str or None", + "is_generator": false, + "description": "

The current (non-empty) value of the text input widget on the last\nrun of the app, None otherwise.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/chat.py#L214" + }, + "StatusContainer.chat_message": { + "name": "chat_message", + "signature": "StatusContainer.chat_message(name, *, avatar=None)", + "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\nimport numpy as np\n\nwith st.chat_message("user"):\n    st.write("Hello \ud83d\udc4b")\n    st.line_chart(np.random.randn(30, 3))\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\nmessage = st.chat_message("assistant")\nmessage.write("Hello human")\nmessage.bar_chart(np.random.randn(30, 3))\n
\n\n \n
\n", + "description": "

Insert a chat message container.

\n

To add elements to the returned container, you can use with notation\n(preferred) or just call methods directly on the returned object. See the\nexamples below.

\n", + "args": [ + { + "name": "name", + "type_name": "\"user\", \"assistant\", \"ai\", \"human\", or str", + "is_optional": false, + "description": "

The name of the message author. Can be "human"/"user" or\n"ai"/"assistant" to enable preset styling and avatars.

\n

Currently, the name is not shown in the UI but is only set as an\naccessibility label. For accessibility reasons, you should not use\nan empty string.

\n", + "default": null + }, + { + "name": "avatar", + "type_name": "str, numpy.ndarray, or BytesIO", + "is_optional": false, + "description": "

The avatar shown next to the message. Can be one of:

\n
    \n
  • A single emoji, e.g. "\ud83e\uddd1\u200d\ud83d\udcbb", "\ud83e\udd16", "\ud83e\udd96". Shortcodes are not supported.
    • \n
  • \n
    An image using one of the formats allowed for st.image: path of a local
    \n
    image file; URL to fetch the image from; array of shape (w,h) or (w,h,1)\nfor a monochrome image, (w,h,3) for a color image, or (w,h,4) for an RGBA image.
    \n
    \n
    • \n
\n

If None (default), uses default icons if name is "user",\n"assistant", "ai", "human" or the first letter of the name value.

\n", + "default": "icons" + } + ], + "returns": [ + { + "type_name": "Container", + "is_generator": false, + "description": "

A single container that can hold multiple elements.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/chat.py#L121" + }, + "StatusContainer.checkbox": { + "name": "checkbox", + "signature": "StatusContainer.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", + "description": "

Display a checkbox widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "bool", + "is_optional": false, + "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this checkbox's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

Whether or not the checkbox is checked.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/checkbox.py#L53" + }, + "StatusContainer.code": { + "name": "code", + "signature": "StatusContainer.code(body, language=\"python\", line_numbers=False)", + "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", + "description": "

Display a code block with optional syntax highlighting.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display as code.

\n", + "default": null + }, + { + "name": "language", + "type_name": "str or None", + "is_optional": false, + "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", + "default": "s" + }, + { + "name": "line_numbers", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", + "default": "s" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/code.py#L27" + }, + "StatusContainer.color_picker": { + "name": "color_picker", + "signature": "StatusContainer.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", + "description": "

Display a color picker widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "str", + "is_optional": false, + "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", + "default": "black" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the color picker.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "str", + "is_generator": false, + "description": "

The selected color as a hex string.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/color_picker.py#L53" + }, + "StatusContainer.columns": { + "name": "columns", + "signature": "StatusContainer.columns(spec, *, gap=\"small\")", + "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", + "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", + "args": [ + { + "name": "spec", + "type_name": "int or iterable of numbers", + "is_optional": false, + "description": "

Controls the number and width of columns to insert. Can be one of:

\n
    \n
  • An integer that specifies the number of columns. All columns have equal\nwidth in this case.
    • \n
  • An iterable of numbers (int or float) that specify the relative width of\neach column. E.g. [0.7, 0.3] creates two columns where the first\none takes up 70% of the available with and the second one takes up 30%.\nOr [1, 2, 3] creates three columns where the second one is two times\nthe width of the first one, and the third one is three times that width.
    • \n
\n", + "default": null + }, + { + "name": "gap", + "type_name": "\"small\", \"medium\", or \"large\"", + "is_optional": false, + "description": "

The size of the gap between the columns. Defaults to "small". This\nargument can only be supplied by keyword.

\n", + "default": "s" + } + ], + "returns": [ + { + "type_name": "list of containers", + "is_generator": false, + "description": "

A list of container objects.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L79" + }, + "StatusContainer.container": { + "name": "container", + "signature": "StatusContainer.container()", + "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", + "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L31" + }, + "StatusContainer.data_editor": { + "name": "data_editor", + "signature": "StatusContainer.data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", + "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", + "is_optional": false, + "description": "

The data to edit in the data editor.

\n
\n

Note

\n
    \n
  • Styles from pandas.Styler will only be applied to non-editable columns.
    • \n
  • Mixing data types within a column can make the column uneditable.
    • \n
  • Additionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.
    • \n
\n
\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", + "default": "False" + }, + { + "name": "hide_index", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", + "default": null + }, + { + "name": "column_order", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", + "default": null + }, + { + "name": "column_config", + "type_name": "dict or None", + "is_optional": false, + "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", + "default": null + }, + { + "name": "num_rows", + "type_name": "\"fixed\" or \"dynamic\"", + "is_optional": false, + "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool or iterable of str", + "is_optional": false, + "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str", + "is_optional": false, + "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this data_editor's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", + "is_generator": false, + "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/data_editor.py#L529" + }, + "StatusContainer.dataframe": { + "name": "dataframe", + "signature": "StatusContainer.dataframe(data=None, width=None, height=None, *, use_container_width=False, hide_index=None, column_order=None, column_config=None)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n

Or you can customize the dataframe via column_config, hide_index, or column_order:

\n
\nimport random\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    {\n        "name": ["Roadmap", "Extras", "Issues"],\n        "url": ["https://roadmap.streamlit.app", "https://extras.streamlit.app", "https://issues.streamlit.app"],\n        "stars": [random.randint(0, 1000) for _ in range(3)],\n        "views_history": [[random.randint(0, 5000) for _ in range(30)] for _ in range(3)],\n    }\n)\nst.dataframe(\n    df,\n    column_config={\n        "name": "App name",\n        "stars": st.column_config.NumberColumn(\n            "Github Stars",\n            help="Number of stars on GitHub",\n            format="%d \u2b50",\n        ),\n        "url": st.column_config.LinkColumn("App URL"),\n        "views_history": st.column_config.LineChartColumn(\n            "Views (past 30 days)", y_min=0, y_max=5000\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", + "description": "

Display a dataframe as an interactive table.

\n

This command works with dataframes from Pandas, PyArrow, Snowpark, and PySpark.\nIt can also display several other types that can be converted to dataframes,\ne.g. numpy arrays, lists, sets and dictionaries.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", + "is_optional": false, + "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.

\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", + "default": "height" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "hide_index", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", + "default": null + }, + { + "name": "column_order", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", + "default": null + }, + { + "name": "column_config", + "type_name": "dict or None", + "is_optional": false, + "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat. This needs to be a dictionary where each key is a column name and\nthe value is one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L44" + }, + "StatusContainer.date_input": { + "name": "date_input", + "signature": "StatusContainer.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, format=\"YYYY/MM/DD\", disabled=False, label_visibility=\"visible\")", + "examples": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input("When's your birthday", datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n 
\nimport datetime\nimport streamlit as st\n\ntoday = datetime.datetime.now()\nnext_year = today.year + 1\njan_1 = datetime.date(next_year, 1, 1)\ndec_31 = datetime.date(next_year, 12, 31)\n\nd = st.date_input(\n    "Select your vacation for next year",\n    (jan_1, datetime.date(next_year, 1, 7)),\n    jan_1,\n    dec_31,\n    format="MM.DD.YYYY",\n)\nd\n
\n\n \n
\n", + "description": "

Display a date input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", + "is_optional": false, + "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", + "default": "today" + }, + { + "name": "min_value", + "type_name": "datetime.date or datetime.datetime", + "is_optional": false, + "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", + "default": "value" + }, + { + "name": "max_value", + "type_name": "datetime.date or datetime.datetime", + "is_optional": false, + "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", + "default": "value" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this date_input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "format", + "type_name": "str", + "is_optional": false, + "description": "

A format string controlling how the interface should display dates.\nSupports \u201cYYYY/MM/DD\u201d (default), \u201cDD/MM/YYYY\u201d, or \u201cMM/DD/YYYY\u201d.\nYou may also use a period (.) or hyphen (-) as separators.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "datetime.date or a tuple with 0-2 dates", + "is_generator": false, + "description": "

The current value of the date input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/time_widgets.py#L415" + }, + "StatusContainer.dg": { + "name": "dg", + "signature": "StatusContainer.dg", + "description": "

Get our DeltaGenerator.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L156" + }, + "StatusContainer.divider": { + "name": "divider", + "signature": "StatusContainer.divider()", + "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", + "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L258" + }, + "StatusContainer.download_button": { + "name": "download_button", + "signature": "StatusContainer.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", + "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", + "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "data", + "type_name": "str or bytes or file", + "is_optional": false, + "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", + "default": null + }, + { + "name": "file_name", + "type_name": "str", + "is_optional": false, + "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", + "default": null + }, + { + "name": "mime", + "type_name": "str or None", + "is_optional": false, + "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", + "default": "s" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", + "default": null + }, + { + "name": "on_click", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this button is clicked.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"secondary\" or \"primary\"", + "is_optional": false, + "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/button.py#L170" + }, + "StatusContainer.empty": { + "name": "empty", + "signature": "StatusContainer.empty()", + "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", + "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/empty.py#L24" + }, + "StatusContainer.error": { + "name": "error", + "signature": "StatusContainer.error(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", + "description": "

Display error message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The error text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L27" + }, + "StatusContainer.exception": { + "name": "exception", + "signature": "StatusContainer.exception(exception)", + "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", + "description": "

Display an exception.

\n", + "args": [ + { + "name": "exception", + "type_name": "Exception", + "is_optional": false, + "description": "

The exception to display.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/exception.py#L50" + }, + "StatusContainer.expander": { + "name": "expander", + "signature": "StatusContainer.expander(label, expanded=False)", + "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", + "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "expanded", + "type_name": "bool", + "is_optional": false, + "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", + "default": "s" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L319" + }, + "StatusContainer.experimental_data_editor": { + "name": "experimental_data_editor", + "signature": "StatusContainer.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", + "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", + "is_optional": false, + "description": "

The data to edit in the data editor.

\n
\n

Note

\n
    \n
  • Styles from pandas.Styler will only be applied to non-editable columns.
    • \n
  • Mixing data types within a column can make the column uneditable.
    • \n
  • Additionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.
    • \n
\n
\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", + "default": "False" + }, + { + "name": "hide_index", + "type_name": "bool or None", + "is_optional": false, + "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", + "default": null + }, + { + "name": "column_order", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", + "default": null + }, + { + "name": "column_config", + "type_name": "dict or None", + "is_optional": false, + "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", + "default": null + }, + { + "name": "num_rows", + "type_name": "\"fixed\" or \"dynamic\"", + "is_optional": false, + "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool or iterable of str", + "is_optional": false, + "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str", + "is_optional": false, + "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this data_editor's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", + "is_generator": false, + "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/data_editor.py#L529" + }, + "StatusContainer.file_uploader": { + "name": "file_uploader", + "signature": "StatusContainer.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", + "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "type", + "type_name": "str or list of str or None", + "is_optional": false, + "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", + "default": "None" + }, + { + "name": "accept_multiple_files", + "type_name": "bool", + "is_optional": false, + "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", + "default": "False" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

A tooltip that gets displayed next to the file uploader.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "None or UploadedFile or list of UploadedFile", + "is_generator": false, + "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/file_uploader.py#L222" + }, + "StatusContainer.form": { + "name": "form", + "signature": "StatusContainer.form(key, clear_on_submit=False)", + "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n\n \n
\n", + "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
  • Within a form, the only widget that can have a callback function is\nst.form_submit_button.
    • \n
\n", + "args": [ + { + "name": "key", + "type_name": "str", + "is_optional": false, + "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", + "default": null + }, + { + "name": "clear_on_submit", + "type_name": "bool", + "is_optional": false, + "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", + "default": "values" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/form.py#L118" + }, + "StatusContainer.form_submit_button": { + "name": "form_submit_button", + "signature": "StatusContainer.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", + "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", + "default": "s" + }, + { + "name": "help", + "type_name": "str or None", + "is_optional": false, + "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", + "default": "None" + }, + { + "name": "on_click", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this button is clicked.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"secondary\" or \"primary\"", + "is_optional": false, + "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

True if the button was clicked.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/form.py#L218" + }, + "StatusContainer.graphviz_chart": { + "name": "graphviz_chart", + "signature": "StatusContainer.graphviz_chart(figure_or_dot, use_container_width=False)", + "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", + "description": "

Display a graph using the dagre-d3 library.

\n", + "args": [ + { + "name": "figure_or_dot", + "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", + "is_optional": false, + "description": "

The Graphlib graph object or dot string to display

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/graphviz_chart.py#L39" + }, + "StatusContainer.header": { + "name": "header", + "signature": "StatusContainer.header(body, anchor=None, *, help=None, divider=False)", + "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header with a divider', divider='rainbow')\nst.header('_Streamlit_ is :blue[cool] :sunglasses:')\n
\n\n \n
\n", + "description": "

Display text in header formatting.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "anchor", + "type_name": "str or False", + "is_optional": false, + "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the header.

\n", + "default": null + }, + { + "name": "divider", + "type_name": "bool or \u201cblue\u201d, \u201cgreen\u201d, \u201corange\u201d, \u201cred\u201d, \u201cviolet\u201d, \u201cgray\u201d/\"grey\", or \u201crainbow\u201d", + "is_optional": false, + "description": "

Shows a colored divider below the header. If True, successive\nheaders will cycle through divider colors. That is, the first\nheader will have a blue line, the second header will have a\ngreen line, and so on. If a string, the color can be set to one of\nthe following: blue, green, orange, red, violet, gray/grey, or\nrainbow.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/heading.py#L41" + }, + "StatusContainer.help": { + "name": "help", + "signature": "StatusContainer.help(obj=)", + "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", + "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", + "args": [ + { + "name": "obj", + "type_name": "any", + "is_optional": false, + "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/doc_string.py#L48" + }, + "StatusContainer.id": { + "name": "id", + "signature": "StatusContainer.id" + }, + "StatusContainer.image": { + "name": "image", + "signature": "StatusContainer.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", + "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", + "description": "

Display an image or list of images.

\n", + "args": [ + { + "name": "image", + "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", + "is_optional": false, + "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", + "default": null + }, + { + "name": "caption", + "type_name": "str or list of str", + "is_optional": false, + "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", + "default": null + }, + { + "name": "width", + "type_name": "int or None", + "is_optional": false, + "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", + "default": "image" + }, + { + "name": "use_column_width", + "type_name": "\"auto\", \"always\", \"never\", or bool", + "is_optional": false, + "description": "

If "auto", set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf "always" or True, set the image's width to the column width.\nIf "never" or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", + "default": null + }, + { + "name": "clamp", + "type_name": "bool", + "is_optional": false, + "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", + "default": null + }, + { + "name": "channels", + "type_name": "\"RGB\" or \"BGR\"", + "is_optional": false, + "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to "RGB", meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to "BGR", instead.

\n", + "default": "s" + }, + { + "name": "output_format", + "type_name": "\"JPEG\", \"PNG\", or \"auto\"", + "is_optional": false, + "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to "auto" which identifies the compression type based\non the type and format of the image argument.

\n", + "default": "s" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/image.py#L87" + }, + "StatusContainer.info": { + "name": "info", + "signature": "StatusContainer.info(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", + "description": "

Display an informational message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The info text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L91" + }, + "StatusContainer.json": { + "name": "json", + "signature": "StatusContainer.json(body, *, expanded=True)", + "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", + "description": "

Display object or string as a pretty-printed JSON string.

\n", + "args": [ + { + "name": "body", + "type_name": "object or str", + "is_optional": false, + "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", + "default": null + }, + { + "name": "expanded", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", + "default": "True" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/json.py#L35" + }, + "StatusContainer.latex": { + "name": "latex", + "signature": "StatusContainer.latex(body, *, help=None)", + "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", + "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", + "args": [ + { + "name": "body", + "type_name": "str or SymPy expression", + "is_optional": false, + "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L210" + }, + "StatusContainer.line_chart": { + "name": "line_chart", + "signature": "StatusContainer.line_chart(data=None, *, x=None, y=None, color=None, width=0, height=0, use_container_width=True)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n

You can also choose different columns to use for x and y, as well as set\nthe color dynamically based on a 3rd column (assuming your dataframe is in\nlong format):

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame({\n    'col1' : np.random.randn(20),\n    'col2' : np.random.randn(20),\n    'col3' : np.random.choice(['A','B','C'], 20)\n})\n\nst.line_chart(\n    chart_data,\n    x = 'col1',\n    y = 'col2',\n    color = 'col3'\n)\n
\n\n \n

Finally, if your dataframe is in wide format, you can group multiple\ncolumns under the y argument to show multiple lines with different\ncolors:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns = ['col1', 'col2', 'col3'])\n\nst.line_chart(\n    chart_data,\n    x = 'col1',\n    y = ['col2', 'col3'],\n    color = ['#FF0000', '#0000FF']  # Optional\n)\n
\n\n \n
\n", + "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", + "is_optional": false, + "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "x", + "type_name": "str or None", + "is_optional": false, + "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "y", + "type_name": "str, sequence of str, or None", + "is_optional": false, + "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str, tuple, sequence of str, sequence of tuple, or None", + "is_optional": false, + "description": "

The color to use for different lines in this chart. This argument\ncan only be supplied by keyword.

\n

For a line chart with just one line, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto lines of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby", then\nthose 1000 datapoints will be grouped into three lines, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into three lines, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe lines in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", + "default": "color" + }, + { + "name": "width", + "type_name": "int", + "is_optional": false, + "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int", + "is_optional": false, + "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L231" + }, + "StatusContainer.map": { + "name": "map", + "signature": "StatusContainer.map(data=None, *, latitude=None, longitude=None, color=None, size=None, zoom=None, use_container_width=True)", + "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n

You can also customize the size and color of the datapoints:

\n
\nst.map(df, size=20, color='#0044ff')\n
\n

And finally, you can choose different columns to use for the latitude\nand longitude components, as well as set size and color of each\ndatapoint dynamically based on other columns:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame({\n    "col1": np.random.randn(1000) / 50 + 37.76,\n    "col2": np.random.randn(1000) / 50 + -122.4,\n    "col3": np.random.randn(1000) * 100,\n    "col4": np.random.rand(1000, 4).tolist(),\n})\n\nst.map(df,\n    latitude='col1',\n    longitude='col2',\n    size='col3',\n    color='col4')\n
\n\n \n
\n", + "description": "

Display a map with a scatterplot overlaid onto it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", + "is_optional": false, + "description": "

The data to be plotted.

\n", + "default": null + }, + { + "name": "latitude", + "type_name": "str or None", + "is_optional": false, + "description": "

The name of the column containing the latitude coordinates of\nthe datapoints in the chart. This argument can only be supplied\nby keyword.

\n

If None, the latitude data will come from any column named 'lat',\n'latitude', 'LAT', or 'LATITUDE'.

\n", + "default": null + }, + { + "name": "longitude", + "type_name": "str or None", + "is_optional": false, + "description": "

The name of the column containing the longitude coordinates of\nthe datapoints in the chart. This argument can only be supplied\nby keyword.

\n

If None, the longitude data will come from any column named 'lon',\n'longitude', 'LON', or 'LONGITUDE'.

\n", + "default": null + }, + { + "name": "color", + "type_name": "str or tuple or None", + "is_optional": false, + "description": "

The color of the circles representing each datapoint. This argument\ncan only be supplied by keyword.

\n

Can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
  • The name of the column to use for the color. Cells in this column\nshould contain colors represented as a hex string or color tuple,\nas described above.
    • \n
\n", + "default": "color" + }, + { + "name": "size", + "type_name": "str or float or None", + "is_optional": false, + "description": "

The size of the circles representing each point, in meters. This\nargument can only be supplied by keyword.

\n

This can be:

\n
    \n
  • None, to use the default size.
    • \n
  • A number like 100, to specify a single size to use for all\ndatapoints.
    • \n
  • The name of the column to use for the size. This allows each\ndatapoint to be represented by a circle of a different size.
    • \n
\n", + "default": "size" + }, + { + "name": "zoom", + "type_name": "int", + "is_optional": false, + "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/map.py#L91" + }, + "StatusContainer.markdown": { + "name": "markdown", + "signature": "StatusContainer.markdown(body, unsafe_allow_html=False, *, help=None)", + "examples": "
\n
\nimport streamlit as st\n\nst.markdown("*Streamlit* is **really** ***cool***.")\nst.markdown('''\n    :red[Streamlit] :orange[can] :green[write] :blue[text] :violet[in]\n    :gray[pretty] :rainbow[colors].''')\nst.markdown("Here's a bouquet &mdash;\\\n            :tulip::cherry_blossom::rose::hibiscus::sunflower::blossom:")\n\nmulti = '''If you end a line with two spaces,\na soft return is used for the next line.\n\nTwo (or more) newline characters in a row will result in a hard return.\n'''\nst.markdown(multi)\n
\n\n \n
\n", + "description": "

Display string formatted as Markdown.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "unsafe_allow_html", + "type_name": "bool", + "is_optional": false, + "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/markdown.py#L31" + }, + "StatusContainer.metric": { + "name": "metric", + "signature": "StatusContainer.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", + "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "value", + "type_name": "int, float, str, or None", + "is_optional": false, + "description": "

Value of the metric. None is rendered as a long dash.

\n", + "default": null + }, + { + "name": "delta", + "type_name": "int, float, str, or None", + "is_optional": false, + "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", + "default": null + }, + { + "name": "delta_color", + "type_name": "\"normal\", \"inverse\", or \"off\"", + "is_optional": false, + "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the metric label.

\n", + "default": null + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/metric.py#L46" + }, + "StatusContainer.multiselect": { + "name": "multiselect", + "signature": "StatusContainer.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, max_selections=None, placeholder=\"Choose an option\", disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", + "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", + "default": null + }, + { + "name": "default", + "type_name": "[V], V, or None", + "is_optional": false, + "description": "

List of default values. Can also be a single value.

\n", + "default": "values" + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this multiselect's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "max_selections", + "type_name": "int", + "is_optional": false, + "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str", + "is_optional": false, + "description": "

A string to display when no options are selected. Defaults to 'Choose an option'.

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "list", + "is_generator": false, + "description": "

A list with the selected options

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/multiselect.py#L146" + }, + "StatusContainer.number_input": { + "name": "number_input", + "signature": "StatusContainer.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", + "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "min_value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", + "default": null + }, + { + "name": "max_value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", + "default": null + }, + { + "name": "value", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", + "default": "min_value" + }, + { + "name": "step", + "type_name": "int, float, or None", + "is_optional": false, + "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", + "default": "1" + }, + { + "name": "format", + "type_name": "str or None", + "is_optional": false, + "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this number_input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "int or float", + "is_generator": false, + "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/number_input.py#L67" + }, + "StatusContainer.plotly_chart": { + "name": "plotly_chart", + "signature": "StatusContainer.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", + "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", + "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", + "args": [ + { + "name": "figure_or_data", + "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", + "is_optional": false, + "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", + "default": null + }, + { + "name": "sharing", + "type_name": "\"streamlit\", \"private\", \"secret\", or \"public\"", + "is_optional": false, + "description": "

Use "streamlit" to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", + "default": null + }, + { + "name": "theme", + "type_name": "\"streamlit\" or None", + "is_optional": false, + "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", + "default": "behavior" + }, + { + "name": "**kwargs", + "type_name": null, + "is_optional": null, + "description": "

Any argument accepted by Plotly's plot() function.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/plotly_chart.py#L81" + }, + "StatusContainer.progress": { + "name": "progress", + "signature": "StatusContainer.progress(value, text=None)", + "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", + "description": "

Display a progress bar.

\n", + "args": [ + { + "name": "value", + "type_name": "int or float", + "is_optional": false, + "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", + "default": null + }, + { + "name": "text", + "type_name": "str or None", + "is_optional": false, + "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/progress.py#L66" + }, + "StatusContainer.pydeck_chart": { + "name": "pydeck_chart", + "signature": "StatusContainer.pydeck_chart(pydeck_obj=None, use_container_width=False)", + "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", + "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", + "args": [ + { + "name": "pydeck_obj", + "type_name": "pydeck.Deck or None", + "is_optional": false, + "description": "

Object specifying the PyDeck chart to draw.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/deck_gl_json_chart.py#L37" + }, + "StatusContainer.pyplot": { + "name": "pyplot", + "signature": "StatusContainer.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", + "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", + "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", + "description": "

Display a matplotlib.pyplot figure.

\n", + "args": [ + { + "name": "fig", + "type_name": "Matplotlib Figure", + "is_optional": false, + "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", + "default": null + }, + { + "name": "clear_figure", + "type_name": "bool", + "is_optional": false, + "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", + "default": "based" + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. Defaults to True.

\n", + "default": "s" + }, + { + "name": "**kwargs", + "type_name": "any", + "is_optional": false, + "description": "

Arguments to pass to Matplotlib's savefig function.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/pyplot.py#L38" + }, + "StatusContainer.radio": { + "name": "radio", + "signature": "StatusContainer.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, captions=None, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What's your favorite movie genre",\n    [":rainbow[Comedy]", "***Drama***", "Documentary :movie_camera:"],\n    captions = ["Laugh out loud.", "Get the popcorn.", "Never stop learning."])\n\nif genre == ':rainbow[Comedy]':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", + "description": "

Display a radio button widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the radio options. Labels can include markdown as\ndescribed in the label parameter and will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", + "default": null + }, + { + "name": "index", + "type_name": "int", + "is_optional": false, + "description": "

The index of the preselected option on first render.

\n", + "default": null + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the radio.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this radio's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", + "default": "False" + }, + { + "name": "horizontal", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", + "default": "false" + }, + { + "name": "captions", + "type_name": "iterable of str or None", + "is_optional": false, + "description": "

A list of captions to show below each radio button. If None (default),\nno captions are shown.

\n", + "default": null + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "any", + "is_generator": false, + "description": "

The selected option.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/radio.py#L76" + }, + "StatusContainer.select_slider": { + "name": "select_slider", + "signature": "StatusContainer.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", + "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", + "default": null + }, + { + "name": "value", + "type_name": "a supported type or a tuple/list of supported types or None", + "is_optional": false, + "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", + "default": "first" + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the select slider.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this select_slider's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "any value or tuple of any value", + "is_generator": false, + "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/select_slider.py#L107" + }, + "StatusContainer.selectbox": { + "name": "selectbox", + "signature": "StatusContainer.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=\"Select...\", disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", + "description": "

Display a select widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "options", + "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", + "is_optional": false, + "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", + "default": null + }, + { + "name": "index", + "type_name": "int", + "is_optional": false, + "description": "

The index of the preselected option on first render.

\n", + "default": null + }, + { + "name": "format_func", + "type_name": "function", + "is_optional": false, + "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this selectbox's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str", + "is_optional": false, + "description": "

A string to display when no options are selected. Defaults to 'Select...'.

\n

A selectbox can't be empty, so a placeholder only displays while a\nuser's cursor is in a selectbox after manually deleting the current\nselection. A future update will allow selectboxes to be empty.

\n", + "default": "s" + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "any", + "is_generator": false, + "description": "

The selected option

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/selectbox.py#L72" + }, + "StatusContainer.slider": { + "name": "slider", + "signature": "StatusContainer.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", + "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "min_value", + "type_name": "a supported type or None", + "is_optional": false, + "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", + "default": "0" + }, + { + "name": "max_value", + "type_name": "a supported type or None", + "is_optional": false, + "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", + "default": "100" + }, + { + "name": "value", + "type_name": "a supported type or a tuple/list of supported types or None", + "is_optional": false, + "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", + "default": "min_value" + }, + { + "name": "step", + "type_name": "int, float, timedelta, or None", + "is_optional": false, + "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", + "default": "1" + }, + { + "name": "format", + "type_name": "str or None", + "is_optional": false, + "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the slider.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this slider's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", + "is_generator": false, + "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/slider.py#L173" + }, + "StatusContainer.snow": { + "name": "snow", + "signature": "StatusContainer.snow()", + "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", + "description": "

Draw celebratory snowfall.

\n", + "args": [], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/snow.py#L25" + }, + "StatusContainer.status": { + "name": "status", + "signature": "StatusContainer.status(label, *, expanded=False, state=\"running\")", + "examples": "
\n

You can use with notation to insert any element into an status container:

\n
\nimport time\nimport streamlit as st\n\nwith st.status("Downloading data..."):\n    st.write("Searching for data...")\n    time.sleep(2)\n    st.write("Found URL.")\n    time.sleep(1)\n    st.write("Downloading data...")\n    time.sleep(1)\n\nst.button('Rerun')\n
\n\n \n

You can also use .update() on the container to change the label, state,\nor expanded state:

\n
\nimport time\nimport streamlit as st\n\nwith st.status("Downloading data...", expanded=True) as status:\n    st.write("Searching for data...")\n    time.sleep(2)\n    st.write("Found URL.")\n    time.sleep(1)\n    st.write("Downloading data...")\n    time.sleep(1)\n    status.update(label="Download complete!", state="complete", expanded=False)\n\nst.button('Rerun')\n
\n\n \n
\n", + "description": "

Insert a status container to display output from long-running tasks.

\n

Inserts a container into your app that is typically used to show the status and\ndetails of a process or task. The container can hold multiple elements and can\nbe expanded or collapsed by the user similar to st.expander.\nWhen collapsed, all that is visible is the status icon and label.

\n

The label, state, and expanded state can all be updated by calling .update()\non the returned object. To add elements to the returned container, you can\nuse "with" notation (preferred) or just call methods directly on the returned\nobject.

\n

By default, st.status() initializes in the "running" state. When called using\n"with" notation, it automatically updates to the "complete" state at the end\nof the "with" block. See examples below for more details.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

The initial label of the status container. The label can optionally\ncontain Markdown and supports the following elements: Bold,\nItalics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents)\nrender. Display unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + }, + { + "name": "expanded", + "type_name": "bool", + "is_optional": false, + "description": "

If True, initializes the status container in "expanded" state. Defaults to\nFalse (collapsed).

\n", + "default": "s" + }, + { + "name": "state", + "type_name": "\"running\", \"complete\", or \"error\"", + "is_optional": false, + "description": "

The initial state of the status container which determines which icon is\nshown:

\n
    \n
  • running (default): A spinner icon is shown.
    • \n
  • complete: A checkmark icon is shown.
    • \n
  • error: An error icon is shown.
    • \n
\n", + "default": null + } + ], + "returns": [ + { + "type_name": "StatusContainer", + "is_generator": false, + "description": "

A mutable status container that can hold multiple elements. The label, state,\nand expanded state can be updated after creation via .update().

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L414" + }, + "StatusContainer.subheader": { + "name": "subheader", + "signature": "StatusContainer.subheader(body, anchor=None, *, help=None, divider=False)", + "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader with a divider', divider='rainbow')\nst.subheader('_Streamlit_ is :blue[cool] :sunglasses:')\n
\n\n \n
\n", + "description": "

Display text in subheader formatting.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "anchor", + "type_name": "str or False", + "is_optional": false, + "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the subheader.

\n", + "default": null + }, + { + "name": "divider", + "type_name": "bool or \u201cblue\u201d, \u201cgreen\u201d, \u201corange\u201d, \u201cred\u201d, \u201cviolet\u201d, \u201cgray\u201d/\"grey\", or \u201crainbow\u201d", + "is_optional": false, + "description": "

Shows a colored divider below the header. If True, successive\nheaders will cycle through divider colors. That is, the first\nheader will have a blue line, the second header will have a\ngreen line, and so on. If a string, the color can be set to one of\nthe following: blue, green, orange, red, violet, gray/grey, or\nrainbow.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/heading.py#L111" + }, + "StatusContainer.success": { + "name": "success", + "signature": "StatusContainer.success(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", + "description": "

Display a success message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The success text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L124" + }, + "StatusContainer.table": { + "name": "table", + "signature": "StatusContainer.table(data=None)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", + "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", + "is_optional": false, + "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L193" + }, + "StatusContainer.tabs": { + "name": "tabs", + "signature": "StatusContainer.tabs(tabs)", + "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", + "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", + "args": [ + { + "name": "tabs", + "type_name": "list of strings", + "is_optional": false, + "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", + "default": null + } + ], + "returns": [ + { + "type_name": "list of containers", + "is_generator": false, + "description": "

A list of container objects.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/layouts.py#L207" + }, + "StatusContainer.text": { + "name": "text", + "signature": "StatusContainer.text(body, *, help=None)", + "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", + "description": "

Write fixed-width and preformatted text.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the text.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/text.py#L27" + }, + "StatusContainer.text_area": { + "name": "text_area", + "signature": "StatusContainer.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", + "description": "

Display a multi-line text input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "object", + "is_optional": false, + "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", + "default": null + }, + { + "name": "height", + "type_name": "int or None", + "is_optional": false, + "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", + "default": "height" + }, + { + "name": "max_chars", + "type_name": "int or None", + "is_optional": false, + "description": "

Maximum number of characters allowed in text area.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the textarea.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this text_area's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "str", + "is_generator": false, + "description": "

The current value of the text input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/text_widgets.py#L288" + }, + "StatusContainer.text_input": { + "name": "text_input", + "signature": "StatusContainer.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", + "description": "

Display a single-line text input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "object", + "is_optional": false, + "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", + "default": null + }, + { + "name": "max_chars", + "type_name": "int or None", + "is_optional": false, + "description": "

Max number of characters allowed in text input.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "type", + "type_name": "\"default\" or \"password\"", + "is_optional": false, + "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", + "default": "s" + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "autocomplete", + "type_name": "str", + "is_optional": false, + "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this text input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "placeholder", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "str", + "is_generator": false, + "description": "

The current value of the text input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/text_widgets.py#L72" + }, + "StatusContainer.time_input": { + "name": "time_input", + "signature": "StatusContainer.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", + "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", + "description": "

Display a time input widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "datetime.time/datetime.datetime", + "is_optional": false, + "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", + "default": "the" + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the input.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this time_input's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + }, + { + "name": "step", + "type_name": "int or timedelta", + "is_optional": false, + "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", + "default": "900" + } + ], + "returns": [ + { + "type_name": "datetime.time", + "is_generator": false, + "description": "

The current value of the time input widget.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/time_widgets.py#L219" + }, + "StatusContainer.title": { + "name": "title", + "signature": "StatusContainer.title(body, anchor=None, *, help=None)", + "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('_Streamlit_ is :blue[cool] :sunglasses:')\n
\n\n \n
\n", + "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "anchor", + "type_name": "str or False", + "is_optional": false, + "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the title.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/heading.py#L181" + }, + "StatusContainer.toast": { + "name": "toast", + "signature": "StatusContainer.toast(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.toast('Your edited image was saved!', icon='\ud83d\ude0d')\n
\n
\n", + "description": "

Display a short message, known as a notification "toast".

\n

The toast appears in the app's bottom-right corner and disappears after four seconds.

\n
\n

Warning

\n

st.toast is not compatible with Streamlit's caching and\ncannot be called within a cached function.

\n
\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the toast. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/toast.py#L37" + }, + "StatusContainer.toggle": { + "name": "toggle", + "signature": "StatusContainer.toggle(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "example": "
\n
\nimport streamlit as st\n\non = st.toggle('Activate feature')\n\nif on:\n    st.write('Feature activated!')\n
\n\n \n
\n", + "description": "

Display a toggle widget.

\n", + "args": [ + { + "name": "label", + "type_name": "str", + "is_optional": false, + "description": "

A short label explaining to the user what this toggle is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", + "default": null + }, + { + "name": "value", + "type_name": "bool", + "is_optional": false, + "description": "

Preselect the toggle when it first renders. This will be\ncast to bool internally.

\n", + "default": null + }, + { + "name": "key", + "type_name": "str or int", + "is_optional": false, + "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", + "default": null + }, + { + "name": "help", + "type_name": "str", + "is_optional": false, + "description": "

An optional tooltip that gets displayed next to the toggle.

\n", + "default": null + }, + { + "name": "on_change", + "type_name": "callable", + "is_optional": false, + "description": "

An optional callback invoked when this toggle's value changes.

\n", + "default": null + }, + { + "name": "args", + "type_name": "tuple", + "is_optional": false, + "description": "

An optional tuple of args to pass to the callback.

\n", + "default": null + }, + { + "name": "kwargs", + "type_name": "dict", + "is_optional": false, + "description": "

An optional dict of kwargs to pass to the callback.

\n", + "default": null + }, + { + "name": "disabled", + "type_name": "bool", + "is_optional": false, + "description": "

An optional boolean, which disables the toggle if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", + "default": "False" + }, + { + "name": "label_visibility", + "type_name": "\"visible\", \"hidden\", or \"collapsed\"", + "is_optional": false, + "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", + "default": "is" + } + ], + "returns": [ + { + "type_name": "bool", + "is_generator": false, + "description": "

Whether or not the toggle is checked.

\n", + "return_name": null + } + ], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/widgets/checkbox.py#L156" + }, + "StatusContainer.update": { + "name": "update", + "signature": "StatusContainer.update(*, label=None, expanded=None, state=None)", + "description": "

Update the status container.

\n

Only specified arguments are updated. Container contents and unspecified\narguments remain unchanged.

\n", + "args": [ + { + "name": "label", + "type_name": "str or None", + "is_optional": false, + "description": "

A new label of the status container. If None, the label is not\nchanged.

\n", + "default": null + }, + { + "name": "expanded", + "type_name": "bool or None", + "is_optional": false, + "description": "

The new expanded state of the status container. If None,\nthe expanded state is not changed.

\n", + "default": null + }, + { + "name": "state", + "type_name": "\"running\", \"complete\", \"error\", or None", + "is_optional": false, + "description": "

The new state of the status container. This mainly changes the\nicon. If None, the state is not changed.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/lib/mutable_status_container.py#L95" + }, + "StatusContainer.vega_lite_chart": { + "name": "vega_lite_chart", + "signature": "StatusContainer.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", + "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", + "description": "

Display a chart using the Vega-Lite library.

\n", + "args": [ + { + "name": "data", + "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", + "is_optional": false, + "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", + "default": null + }, + { + "name": "spec", + "type_name": "dict or None", + "is_optional": false, + "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", + "default": null + }, + { + "name": "use_container_width", + "type_name": "bool", + "is_optional": false, + "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", + "default": null + }, + { + "name": "theme", + "type_name": "\"streamlit\" or None", + "is_optional": false, + "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", + "default": "behavior" + }, + { + "name": "**kwargs", + "type_name": "any", + "is_optional": false, + "description": "

Same as spec, but as keywords.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/dataframe_selector.py#L819" + }, + "StatusContainer.video": { + "name": "video", + "signature": "StatusContainer.video(data, format=\"video/mp4\", start_time=0)", + "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", + "description": "

Display a video player.

\n", + "args": [ + { + "name": "data", + "type_name": "str, bytes, BytesIO, numpy.ndarray, or file", + "is_optional": false, + "description": "

Raw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", + "default": null + }, + { + "name": "format", + "type_name": "str", + "is_optional": false, + "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", + "default": "s" + }, + { + "name": "start_time", + "type_name": "int", + "is_optional": false, + "description": "

The time from which this element should start playing.

\n", + "default": null + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/media.py#L115" + }, + "StatusContainer.warning": { + "name": "warning", + "signature": "StatusContainer.warning(body, *, icon=None)", + "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", + "description": "

Display warning message.

\n", + "args": [ + { + "name": "body", + "type_name": "str", + "is_optional": false, + "description": "

The warning text to display.

\n", + "default": null + }, + { + "name": "icon", + "type_name": "str or None", + "is_optional": false, + "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", + "default": "None" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/alert.py#L59" + }, + "StatusContainer.write": { + "name": "write", + "signature": "StatusContainer.write(*args, unsafe_allow_html=False, **kwargs)", + "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", + "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", + "args": [ + { + "name": "*args", + "type_name": "any", + "is_optional": false, + "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", + "default": null + }, + { + "name": "unsafe_allow_html", + "type_name": "bool", + "is_optional": false, + "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", + "default": "False" + } + ], + "returns": [], + "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/write.py#L49" + } } } From 98a919d12411de9d47f29c9b81ff61778beed10f Mon Sep 17 00:00:00 2001 From: Debbie Matthews Date: Wed, 23 Aug 2023 03:30:10 -0700 Subject: [PATCH 2/5] Add st.toggle documentation (#784) * Add st.toggle documentation Add page, API card, and navigation for st.toggle * Update streamlit.json --------- Co-authored-by: snehankekre --- content/library/api/api-reference.md | 13 + content/library/api/widgets/toggle.md | 7 + content/library/api/widgets/widgets.md | 13 + content/menu.md | 3 + public/images/api/toggle.jpg | Bin 0 -> 49094 bytes python/streamlit.json | 98284 +---------------------- 6 files changed, 201 insertions(+), 98119 deletions(-) create mode 100644 content/library/api/widgets/toggle.md create mode 100644 public/images/api/toggle.jpg diff --git a/content/library/api/api-reference.md b/content/library/api/api-reference.md index 53a0621b4..099bbfefd 100644 --- a/content/library/api/api-reference.md +++ b/content/library/api/api-reference.md @@ -755,6 +755,19 @@ Display a checkbox widget. selected = st.checkbox("I agree") ``` + + + +screenshot + +#### Toggle + +Display a toggle widget. + +```python +activated = st.toggle("Activate") +``` + diff --git a/content/library/api/widgets/toggle.md b/content/library/api/widgets/toggle.md new file mode 100644 index 000000000..34ba849e4 --- /dev/null +++ b/content/library/api/widgets/toggle.md @@ -0,0 +1,7 @@ +--- +title: st.toggle +slug: /library/api-reference/widgets/st.toggle +description: st.toggle displays a toggle widget. +--- + + diff --git a/content/library/api/widgets/widgets.md b/content/library/api/widgets/widgets.md index a56e22577..4d6ba6cbc 100644 --- a/content/library/api/widgets/widgets.md +++ b/content/library/api/widgets/widgets.md @@ -47,6 +47,19 @@ Display a checkbox widget. selected = st.checkbox("I agree") ``` + + + +screenshot + +#### Toggle + +Display a toggle widget. + +```python +activated = st.toggle("Activate") +``` + diff --git a/content/menu.md b/content/menu.md index 4e13273ed..5d0477644 100644 --- a/content/menu.md +++ b/content/menu.md @@ -166,6 +166,9 @@ site_menu: - category: Streamlit library / API reference / Input widgets / st.checkbox url: /library/api-reference/widgets/st.checkbox isVersioned: true + - category: Streamlit library / API reference / Input widgets / st.toggle + url: /library/api-reference/widgets/st.toggle + isVersioned: true - category: Streamlit library / API reference / Input widgets / st.radio url: /library/api-reference/widgets/st.radio isVersioned: true diff --git a/public/images/api/toggle.jpg b/public/images/api/toggle.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fa18a43b302289cd181e7bfb270e2a727c634c9b GIT binary patch literal 49094 zcmeFZcT|(xw=Ntj3L+xC#zI#>qzjU*Y(QWG(mPR+5+X#J1PIAiDblx8rDZEkK#25C zqzed0mrxS~q$iZ{0x389oO93jefNHU+;Q(8=Xb|28H_OC9V=_Dcdq$7^O3Zx4<_J8>LXOREHA&wnmeg<)$IpM;3AL9lc=RS6V`xvtW z1O|bQo%;8&LI3eOcKpQ2Q>WR^oMq==T~K`ibo|(f6UR@UICbjeN!Hb2tp9^fa-X_* zS?SJc9`lE6SA2PIK7al0%+z%gD;9sH&-JXx`HO zT~FWOo}rPYm9>qnoxOwWV>fpXPnef~K;W|=WN^sK@QBE$SJ5#^$tkI6>2KaB=)`|6*}oh1KiI`ugk#4~o;-1q?H{|29S>stoZvor>ax=5i+9Y~9{TcJx%vDI z@7>q$%3IG~Rkk4WJ@Ol3=a*0+N>ctY?cXf>Uo-5*|CVL{Y1sc`7Xftc#4*;*JHZWt zfEWxJ(BH@ZWC#8F__YMTyx`YH_!SF&g~MNn@Cyxpq2Vty{Dp?U(C`-;{zAiFX!r{a zf1%+oH2j5zztHd(8va7VUugIX4S%8GFEspxhQHA87aIOT!(V9le=i!ISY(0-q0~CS z;7As5kVlZt7s@ZcQnf48;U!DOJj8Y|Br`5@|9Elsae|oEz1r6)(6x}*b~hhoPW+Ur zK+VXej%zefD@$~e!@aTg@36KwEIXZey<8(*OeD_HC|j^G)M!sQ94)vr>RYHd-E{s? z2N|(28>(Fye&c?-n;?5iT3DxjMv3v&9@$Y-^9YAe;j6C7?B7g?eqTks9(k?U;Kn}r zmd57N_E8>8(2H{PDD)ztj7ZigDnJR78yoY>(urDHCdN?sBga1B^w_{gt;~rgC)&g< zPHfZ_?_!;=H#(UhtUs2oF85}U#=O^X&!^IAVY_>G3odsTR(DQ>7cAj3xz633nx18X z)&?Wzep5USC~`!VbPApeiWXXT6|(L20J8KsWa9&UFhx%p_R+bK3F0=x3Er;;+;P$y z3_fs@0tSvDyx;W5ff9@tDzwAX91*eNw<^MU273@5WvvLoT|1Js7^oAKRaYDHcp7`r zqX@s)U;Yg$)7JE;hy1Af@n+s^Gt^r)f59d z?^`B_A+8K&cya-MqEBIl(#Yvd5Z@ph6SVWD(&NY+JuVzS%6|*9!E>ZL=Q4Be)0F)r z%?U{M5A;>elDO~KPGU=g36hJ1m6d*ST506QtQy@Y>~PZ6?D^1jp}$hr$YecNkR;;0 zYv|O?Gw<=I-7P*}J3Jc-+(!IxXB79U0|;vkkTEY5bF(P*s{b7}5+2g)XYOpjVKaM$ zr?9GOrDY9vw1FD4-K!n8X||Rpc3l!~`cV;V`r`Z#%U2Pm_u9{|xL(#; z@$~DtU47eIp-eUG<(WP=I%Tf;ThFGsGe;ULWRoSr1O^a0$jn)ucmwT|o zegj6T`1%+|g28Rl$DjJ;#+L4#3eyBU?;rc^6zCx`vr}A%Z1cPrS<>Zl=hI)W1@w*@ZlRdK}k0L61ik3Sm517}>;?}(06w_pqGr)P}P$o<-}-1jc0 z+5GMySZ|~h)08**sIg`}z5nGi+t8~EkncDKyYtZ%OzUq7+F^x^{v4fAn(jxMnzs&u z=cmq9azQhZ^U-avZO-PDA%!0cDiSGyG$VhZJF_sC

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\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n     np.random.randn(200, 3),\n     columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n     x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L295" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n     np.random.randn(20, 3),\n     columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L186" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0)", - "example": "
\n
\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/media.py#L41" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/balloons.py#L24" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n     np.random.randn(50, 3),\n     columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L240" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n    st.header("A cat")\n    st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n    st.header("A dog")\n    st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n    st.header("An owl")\n    st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container(*args, **kwargs)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n    st.write("This is inside the container")\n\n    # You can call any Streamlit command, including custom components:\n    st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n     st.write("""\n         The chart above shows some numbers I picked for you.\n         I rolled actual dice for these, so they're *guaranteed* to\n         be random.\n     """)\n     st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n     The chart above shows some numbers I picked for you.\n     I rolled actual dice for these, so they're *guaranteed* to\n     be random.\n """)\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n     title='simple line example',\n     x_axis_label='x',\n     y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/bokeh_chart.py#L33" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n     st.write('Why hello there')\n else:\n     st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/button.py#L51" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\n@st.cache\n def fetch_and_clean_data(url):\n     # Fetch data from URL here, and then clean it up.\n     return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\n def fetch_and_clean_data(url):\n     # Fetch data from URL here, and then clean it up.\n     return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\n def fetch_and_clean_data(url):\n     # Fetch data from URL here, and then clean it up.\n     return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\n def connect_to_database(url):\n     return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\n def connect_to_database(url):\n     return MongoClient(url)\n
\n
\n", - "description": "Function decorator to memoize function executions.", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/legacy_caching/caching.py#L357" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n     st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/camera_input.py#L47" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False)", - "example": "
\n
\nst.caption('This is a string that explains something above.')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L189" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nagree = st.checkbox('I agree')\n\nif agree:\n     st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/checkbox.py#L36" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n     print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf omitted, the code will be unstyled.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L132" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/color_picker.py#L35" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n    st.header("A cat")\n    st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n    st.header("A dog")\n    st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n    st.header("An owl")\n    st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/layouts.py#L72" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n    st.write("This is inside the container")\n\n    # You can call any Streamlit command, including custom components:\n    st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/layouts.py#L28" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None)", - "examples": "
\n
\ndf = pd.DataFrame(\n    np.random.randn(50, 20),\n    columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n    np.random.randn(10, 20),\n    columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderyling DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the UI element expressed in pixels. If None, a\ndefault width based on the page width is used.

\n", - "default": "width" - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L37" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nd = st.date_input(\n     "When's your birthday",\n     datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/time_widgets.py#L305" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\n def convert_df(df):\n     # IMPORTANT: Cache the conversion to prevent computation on every rerun\n     return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n     label="Download data as CSV",\n     data=csv,\n     file_name='large_df.csv',\n     mime='text/csv',\n )\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n     btn = st.download_button(\n             label="Download image",\n             data=file,\n             file_name="flower.png",\n             mime="image/png"\n           )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/button.py#L118" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "Use in a `with` block to draw some code on the app, then execute it.", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/echo.py#L25" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n     for seconds in range(60):\n         st.write(f"\u23f3 {seconds} seconds have passed")\n         time.sleep(1)\n     st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n     st.write("This is one element")\n     st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body)", - "example": "
\n
\nst.error('This is an error')\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/alert.py#L26" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/exception.py#L46" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n     st.write("""\n         The chart above shows some numbers I picked for you.\n         I rolled actual dice for these, so they're *guaranteed* to\n         be random.\n     """)\n     st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n     The chart above shows some numbers I picked for you.\n     I rolled actual dice for these, so they're *guaranteed* to\n     be random.\n """)\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/layouts.py#L283" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "Return the query parameters that is currently showing in the browser's URL bar.", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/__init__.py#L331" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, persist=None, show_spinner=True, suppress_st_warning=False, max_entries=None, ttl=None)", - "example": "
\n
\n@st.experimental_memo\n def fetch_and_clean_data(url):\n     # Fetch data from URL here, and then clean it up.\n     return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.experimental_memo(persist="disk")\n def fetch_and_clean_data(url):\n     # Fetch data from URL here, and then clean it up.\n     return data\n
\n

By default, all parameters to a memoized function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_memo\n def fetch_and_clean_data(_db_connection, num_rows):\n     # Fetch data from _db_connection here, and then clean it up.\n     return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A memoized function's cache can be procedurally cleared:

\n
\n@st.experimental_memo\n def fetch_and_clean_data(_db_connection, num_rows):\n     # Fetch data from _db_connection here, and then clean it up.\n     return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n

Memoized data is stored in "pickled" form, which means that the return\nvalue of a memoized function must be pickleable.

\n

Each caller of a memoized function gets its own copy of the cached data.

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to memoize. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "str or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Currently, the only\nvalid value is "disk", which will persist to the local disk.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe cached function.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/caching/memo_decorator.py#L218" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/__init__.py#L512" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nst.experimental_set_query_params(\n     show_map=True,\n     selected=["asia", "america"],\n )\n
\n
\n", - "description": "Set the query parameters that are shown in the browser's URL bar.", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/__init__.py#L361" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\ndataframe = pd.DataFrame({\n     'first column': [1, 2, 3, 4],\n     'second column': [10, 20, 30, 40],\n })\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/__init__.py#L251" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func=None, *, show_spinner=True, suppress_st_warning=False)", - "example": "
\n
\n@st.experimental_singleton\n def get_database_session(url):\n     # Create a database session object that points to the URL.\n     return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a singleton function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_singleton\n def get_database_session(_sessionmaker, url):\n     # Create a database connection object that points to the URL.\n     return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A singleton function's cache can be procedurally cleared:

\n
\n@st.experimental_singleton\n def get_database_session(_sessionmaker, url):\n     # Create a database connection object that points to the URL.\n     return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to store singleton objects.

\n

Each singleton object is shared across all users connected to the app.\nSingleton objects must be thread-safe, because they can be accessed from\nmultiple threads concurrently.

\n

(If thread-safety is an issue, consider using st.session_state to\nstore per-session singleton objects instead.)

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the singleton. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the singleton is being created.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe singleton function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/caching/singleton_decorator.py#L139" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n     # To read file as bytes:\n     bytes_data = uploaded_file.getvalue()\n     st.write(bytes_data)\n\n     # To convert to a string based IO:\n     stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n     st.write(stringio)\n\n     # To read file as string:\n     string_data = stringio.read()\n     st.write(string_data)\n\n     # Can be used wherever a "file-like" object is accepted:\n     dataframe = pd.read_csv(uploaded_file)\n     st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n     bytes_data = uploaded_file.read()\n     st.write("filename:", uploaded_file.name)\n     st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/file_uploader.py#L132" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n    st.write("Inside the form")\n    slider_val = st.slider("Form slider")\n    checkbox_val = st.checkbox("Form checkbox")\n\n    # Every form must have a submit button.\n    submitted = st.form_submit_button("Submit")\n    if submitted:\n        st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/form.py#L112" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/form.py#L200" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/config.py#L90" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz as graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/graphviz_chart.py#L30" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None)", - "example": "
\n
\nst.header('This is a header')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L81" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/doc_string.py#L41" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/image.py#L60" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body)", - "example": "
\n
\nst.info('This is a purely informational message')\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/alert.py#L62" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nst.json({\n     'foo': 'bar',\n     'baz': 'boz',\n     'stuff': [\n         'stuff 1',\n         'stuff 2',\n         'stuff 3',\n         'stuff 5',\n     ],\n })\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "Object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/json.py#L28" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body)", - "example": "
\n
\nst.latex(r'''\n     a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n     \\sum_{k=0}^{n-1} ar^k =\n     a \\left(\\frac{1-r^{n}}{1-r}\\right)\n     ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L232" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n     np.random.randn(20, 3),\n     columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L132" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n     np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n     columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,", - "is_optional": false, - "description": "

or None\nThe data to be plotted. Must have columns called 'lat', 'lon',\n'latitude', or 'longitude'.

\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/map.py#L31" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False)", - "example": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may\nbe removed from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us\nyour exact use case here:

\n

https://discuss.streamlit.io/t/96

\n

This will help us come up with safe APIs that allow you to do what\nyou want.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L28" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None)", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n     delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n     delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or Title for the metric

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/metric.py#L43" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\noptions = st.multiselect(\n     'What are your favorite colors',\n     ['Green', 'Yellow', 'Red', 'Blue'],\n     ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/multiselect.py#L45" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/number_input.py#L39" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport plotly.figure_factory as ff\nimport numpy as np\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n         hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plotly.com/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/plotly_chart.py#L67" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n     time.sleep(0.1)\n     my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/progress.py#L31" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer on top of\nthe light map style:

\n
\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n     map_style='mapbox://styles/mapbox/light-v9',\n     initial_view_state=pdk.ViewState(\n         latitude=37.76,\n         longitude=-122.4,\n         zoom=11,\n         pitch=50,\n     ),\n     layers=[\n         pdk.Layer(\n            'HexagonLayer',\n            data=df,\n            get_position='[lon, lat]',\n            radius=200,\n            elevation_scale=4,\n            elevation_range=[0, 1000],\n            pickable=True,\n            extruded=True,\n         ),\n         pdk.Layer(\n             'ScatterplotLayer',\n             data=df,\n             get_position='[lon, lat]',\n             get_color='[200, 30, 0, 160]',\n             get_radius=200,\n         ),\n     ],\n ))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "spec", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/deck_gl_json_chart.py#L23" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib support several different types of "backends". If you're\ngetting an error using Matplotlib with Streamlit, try setting your\nbackend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/pyplot.py#L31" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False)", - "example": "
\n
\ngenre = st.radio(\n     "What's your favorite movie genre",\n     ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n     st.write('You selected comedy.')\n else:\n     st.write("You didn't select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/radio.py#L35" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\ncolor = st.select_slider(\n     'Select a color of the rainbow',\n     options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n     'Select a range of color wavelength',\n     options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n     value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/select_slider.py#L35" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\noption = st.selectbox(\n     'How would you like to be contacted?',\n     ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/selectbox.py#L35" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/__init__.py#L212" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nst.set_page_config(\n     page_title="Ex-stream-ly Cool App",\n     page_icon="\ud83e\uddca",\n     layout="wide",\n     initial_sidebar_state="expanded",\n     menu_items={\n         'Get Help': 'https://www.extremelycoolapp.com/help',\n         'Report a bug': "https://www.extremelycoolapp.com/bug",\n         'About': "# This is a header. This is an *extremely* cool app!"\n     }\n )\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/commands/page_config.py#L44" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n     'Select a range of values',\n     0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n     "Schedule your appointment:",\n     value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n     "When do you start?",\n     value=datetime(2020, 1, 1, 9, 30),\n     format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/slider.py#L37" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/snow.py#L24" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "Temporarily displays a message while executing a block of code.", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/__init__.py#L391" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/__init__.py#L492" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None)", - "example": "
\n
\nst.subheader('This is a subheader')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L106" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body)", - "example": "
\n
\nst.success('This is a success message!')\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/alert.py#L80" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\ndf = pd.DataFrame(\n    np.random.randn(10, 5),\n    columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L99" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n    st.header("A cat")\n    st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n    st.header("A dog")\n    st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n    st.header("An owl")\n    st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The string is used as the name of the tab.\nThe first tab is selected by default.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/layouts.py#L196" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/text.py#L26" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False)", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n     It was the best of times, it was the worst of times, it was\n     the age of wisdom, it was the age of foolishness, it was\n     the epoch of belief, it was the epoch of incredulity, it\n     was the season of Light, it was the season of Darkness, it\n     was the spring of hope, it was the winter of despair, (...)\n     ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "any", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/text_widgets.py#L200" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False)", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "any", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/text_widgets.py#L36" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/time_widgets.py#L165" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None)", - "example": "
\n
\nst.title('This is a title')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L161" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n     np.random.randn(200, 3),\n     columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(df, {\n     'mark': {'type': 'circle', 'tooltip': True},\n     'encoding': {\n         'x': {'field': 'a', 'type': 'quantitative'},\n         'y': {'field': 'b', 'type': 'quantitative'},\n         'size': {'field': 'c', 'type': 'quantitative'},\n         'color': {'field': 'c', 'type': 'quantitative'},\n     },\n })\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L341" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/media.py#L79" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body)", - "example": "
\n
\nst.warning('This is a warning')\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/alert.py#L44" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n     'first column': [1, 2, 3, 4],\n     'second column': [10, 20, 30, 40],\n }))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n     np.random.randn(200, 3),\n     columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n     x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression and emoji shortcodes.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/write.py#L43" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "Clear all in-memory and on-disk memo caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/caching/memo_decorator.py#L351" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "Clear all singleton caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/caching/singleton_decorator.py#L237" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "Create and register a custom component.", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "Display an HTML string in an iframe.", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/iframe.py#L57" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "Load a remote URL in an iframe.", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/iframe.py#L24" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(self, data=None, **kwargs)", - "example": "
\n
\ndf1 = pd.DataFrame(\n    np.random.randn(50, 20),\n    columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n    np.random.randn(50, 20),\n    columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n     'mark': 'line',\n     'encoding': {'x': 'a', 'y': 'b'},\n     'datasets': {\n       'some_fancy_name': df1,  # <-- named dataset\n      },\n     'data': {'name': 'some_fancy_name'},\n }),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "Concatenate a dataframe to the bottom of the current one.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L410" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(self, altair_chart, use_container_width=False)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n     np.random.randn(200, 3),\n     columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n     x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L295" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(self, data=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n     np.random.randn(20, 3),\n     columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L186" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(self, data, format=\"audio/wav\", start_time=0)", - "example": "
\n
\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/media.py#L41" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons(self)", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/balloons.py#L24" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(self, data=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n     np.random.randn(50, 3),\n     columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L240" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n    st.header("A cat")\n    st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n    st.header("A dog")\n    st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n    st.header("An owl")\n    st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container(*args, **kwargs)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n    st.write("This is inside the container")\n\n    # You can call any Streamlit command, including custom components:\n    st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n     st.write("""\n         The chart above shows some numbers I picked for you.\n         I rolled actual dice for these, so they're *guaranteed* to\n         be random.\n     """)\n     st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n     The chart above shows some numbers I picked for you.\n     I rolled actual dice for these, so they're *guaranteed* to\n     be random.\n """)\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(self, figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n     title='simple line example',\n     x_axis_label='x',\n     y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/bokeh_chart.py#L33" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(self, label, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n     st.write('Why hello there')\n else:\n     st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/button.py#L51" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(self, label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n     st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/camera_input.py#L47" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(self, body, unsafe_allow_html=False)", - "example": "
\n
\nst.caption('This is a string that explains something above.')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L189" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(self, label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nagree = st.checkbox('I agree')\n\nif agree:\n     st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/checkbox.py#L36" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(self, body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n     print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf omitted, the code will be unstyled.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L132" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/color_picker.py#L35" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n    st.header("A cat")\n    st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n    st.header("A dog")\n    st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n    st.header("An owl")\n    st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/layouts.py#L72" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n    st.write("This is inside the container")\n\n    # You can call any Streamlit command, including custom components:\n    st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/layouts.py#L28" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(self, data=None, width=None, height=None)", - "examples": "
\n
\ndf = pd.DataFrame(\n    np.random.randn(50, 20),\n    columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n    np.random.randn(10, 20),\n    columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderyling DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the UI element expressed in pixels. If None, a\ndefault width based on the page width is used.

\n", - "default": "width" - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L37" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(self, label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nd = st.date_input(\n     "When's your birthday",\n     datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/time_widgets.py#L305" - }, - "DeltaGenerator.determine_delta_color_and_direction": { - "name": "determine_delta_color_and_direction", - "signature": "element.determine_delta_color_and_direction(self, delta_color, delta)" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(self, label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\n def convert_df(df):\n     # IMPORTANT: Cache the conversion to prevent computation on every rerun\n     return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n     label="Download data as CSV",\n     data=csv,\n     file_name='large_df.csv',\n     mime='text/csv',\n )\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n     btn = st.download_button(\n             label="Download image",\n             data=file,\n             file_name="flower.png",\n             mime="image/png"\n           )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/button.py#L118" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty(self)", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n     for seconds in range(60):\n         st.write(f"\u23f3 {seconds} seconds have passed")\n         time.sleep(1)\n     st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n     st.write("This is one element")\n     st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(self, body)", - "example": "
\n
\nst.error('This is an error')\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/alert.py#L26" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(self, exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/exception.py#L46" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n     st.write("""\n         The chart above shows some numbers I picked for you.\n         I rolled actual dice for these, so they're *guaranteed* to\n         be random.\n     """)\n     st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n     The chart above shows some numbers I picked for you.\n     I rolled actual dice for these, so they're *guaranteed* to\n     be random.\n """)\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/layouts.py#L283" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(self, label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n     # To read file as bytes:\n     bytes_data = uploaded_file.getvalue()\n     st.write(bytes_data)\n\n     # To convert to a string based IO:\n     stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n     st.write(stringio)\n\n     # To read file as string:\n     string_data = stringio.read()\n     st.write(string_data)\n\n     # Can be used wherever a "file-like" object is accepted:\n     dataframe = pd.read_csv(uploaded_file)\n     st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n     bytes_data = uploaded_file.read()\n     st.write("filename:", uploaded_file.name)\n     st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/file_uploader.py#L132" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(self, key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n    st.write("Inside the form")\n    slider_val = st.slider("Form slider")\n    checkbox_val = st.checkbox("Form checkbox")\n\n    # Every form must have a submit button.\n    submitted = st.form_submit_button("Submit")\n    if submitted:\n        st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/form.py#L112" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(self, label=\"Submit\", help=None, on_click=None, args=None, kwargs=None)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/form.py#L200" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(self, figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz as graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/graphviz_chart.py#L30" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(self, body, anchor=None)", - "example": "
\n
\nst.header('This is a header')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L81" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(self, obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/doc_string.py#L41" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(self, image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/image.py#L60" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(self, body)", - "example": "
\n
\nst.info('This is a purely informational message')\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/alert.py#L62" - }, - "DeltaGenerator.is_negative": { - "name": "is_negative", - "signature": "element.is_negative(delta)" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(self, body, *, expanded=True)", - "example": "
\n
\nst.json({\n     'foo': 'bar',\n     'baz': 'boz',\n     'stuff': [\n         'stuff 1',\n         'stuff 2',\n         'stuff 3',\n         'stuff 5',\n     ],\n })\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "Object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/json.py#L28" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(self, body)", - "example": "
\n
\nst.latex(r'''\n     a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n     \\sum_{k=0}^{n-1} ar^k =\n     a \\left(\\frac{1-r^{n}}{1-r}\\right)\n     ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L232" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(self, data=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n     np.random.randn(20, 3),\n     columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L132" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(self, data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n     np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n     columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,", - "is_optional": false, - "description": "

or None\nThe data to be plotted. Must have columns called 'lat', 'lon',\n'latitude', or 'longitude'.

\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/map.py#L31" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(self, body, unsafe_allow_html=False)", - "example": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may\nbe removed from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us\nyour exact use case here:

\n

https://discuss.streamlit.io/t/96

\n

This will help us come up with safe APIs that allow you to do what\nyou want.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L28" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(self, label, value, delta=None, delta_color=\"normal\", help=None)", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n     delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n     delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or Title for the metric

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/metric.py#L43" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(self, label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\noptions = st.multiselect(\n     'What are your favorite colors',\n     ['Green', 'Yellow', 'Red', 'Blue'],\n     ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/multiselect.py#L45" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(self, label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/number_input.py#L39" - }, - "DeltaGenerator.parse_delta": { - "name": "parse_delta", - "signature": "element.parse_delta(delta)" - }, - "DeltaGenerator.parse_label": { - "name": "parse_label", - "signature": "element.parse_label(label)" - }, - "DeltaGenerator.parse_value": { - "name": "parse_value", - "signature": "element.parse_value(value)" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(self, figure_or_data, use_container_width=False, sharing=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport plotly.figure_factory as ff\nimport numpy as np\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n         hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plotly.com/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/plotly_chart.py#L67" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(self, value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n     time.sleep(0.1)\n     my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/progress.py#L31" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(self, pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer on top of\nthe light map style:

\n
\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n     map_style='mapbox://styles/mapbox/light-v9',\n     initial_view_state=pdk.ViewState(\n         latitude=37.76,\n         longitude=-122.4,\n         zoom=11,\n         pitch=50,\n     ),\n     layers=[\n         pdk.Layer(\n            'HexagonLayer',\n            data=df,\n            get_position='[lon, lat]',\n            radius=200,\n            elevation_scale=4,\n            elevation_range=[0, 1000],\n            pickable=True,\n            extruded=True,\n         ),\n         pdk.Layer(\n             'ScatterplotLayer',\n             data=df,\n             get_position='[lon, lat]',\n             get_color='[200, 30, 0, 160]',\n             get_radius=200,\n         ),\n     ],\n ))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "spec", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/deck_gl_json_chart.py#L23" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(self, fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib support several different types of "backends". If you're\ngetting an error using Matplotlib with Streamlit, try setting your\nbackend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/pyplot.py#L31" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False)", - "example": "
\n
\ngenre = st.radio(\n     "What's your favorite movie genre",\n     ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n     st.write('You selected comedy.')\n else:\n     st.write("You didn't select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/radio.py#L35" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(self, label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\ncolor = st.select_slider(\n     'Select a color of the rainbow',\n     options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n     'Select a range of color wavelength',\n     options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n     value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/select_slider.py#L35" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\noption = st.selectbox(\n     'How would you like to be contacted?',\n     ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/selectbox.py#L35" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(self, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n     'Select a range of values',\n     0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n     "Schedule your appointment:",\n     value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n     "When do you start?",\n     value=datetime(2020, 1, 1, 9, 30),\n     format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/slider.py#L37" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow(self)", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/snow.py#L24" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(self, body, anchor=None)", - "example": "
\n
\nst.subheader('This is a subheader')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L106" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(self, body)", - "example": "
\n
\nst.success('This is a success message!')\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/alert.py#L80" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(self, data=None)", - "example": "
\n
\ndf = pd.DataFrame(\n    np.random.randn(10, 5),\n    columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L99" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(self, tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n    st.header("A cat")\n    st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n    st.header("A dog")\n    st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n    st.header("An owl")\n    st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The string is used as the name of the tab.\nThe first tab is selected by default.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/layouts.py#L196" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(self, body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/text.py#L26" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(self, label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False)", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n     It was the best of times, it was the worst of times, it was\n     the age of wisdom, it was the age of foolishness, it was\n     the epoch of belief, it was the epoch of incredulity, it\n     was the season of Light, it was the season of Darkness, it\n     was the spring of hope, it was the winter of despair, (...)\n     ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "any", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/text_widgets.py#L200" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(self, label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False)", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "any", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/text_widgets.py#L36" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/time_widgets.py#L165" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(self, body, anchor=None)", - "example": "
\n
\nst.title('This is a title')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/markdown.py#L161" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(self, data=None, spec=None, use_container_width=False, **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n     np.random.randn(200, 3),\n     columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(df, {\n     'mark': {'type': 'circle', 'tooltip': True},\n     'encoding': {\n         'x': {'field': 'a', 'type': 'quantitative'},\n         'y': {'field': 'b', 'type': 'quantitative'},\n         'size': {'field': 'c', 'type': 'quantitative'},\n         'color': {'field': 'c', 'type': 'quantitative'},\n     },\n })\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/dataframe_selector.py#L341" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(self, data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/media.py#L79" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(self, body)", - "example": "
\n
\nst.warning('This is a warning')\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/alert.py#L44" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(self, *args, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n     'first column': [1, 2, 3, 4],\n     'second column': [10, 20, 30, 40],\n }))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n     np.random.randn(200, 3),\n     columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n     x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression and emoji shortcodes.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.11.0/lib/streamlit/elements/write.py#L43" - } - }, - "1.12.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L379" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L214" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0)", - "example": "
\n
\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/media.py#L41" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/balloons.py#L24" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(50, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L296" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container(*args, **kwargs)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/bokeh_chart.py#L33" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/button.py#L51" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "Function decorator to memoize function executions.", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/runtime/legacy_caching/caching.py#L395" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/camera_input.py#L47" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False)", - "example": "
\n
\nst.caption('This is a string that explains something above.')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L193" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/checkbox.py#L36" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf omitted, the code will be unstyled.

\n

For a list of available language imports, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L132" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/color_picker.py#L35" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/layouts.py#L72" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/layouts.py#L28" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None)", - "examples": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the UI element expressed in pixels. If None, a\ndefault width based on the page width is used.

\n", - "default": "width" - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L37" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nd = st.date_input(\n    "When's your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/time_widgets.py#L305" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/button.py#L118" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "Use in a `with` block to draw some code on the app, then execute it.", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/echo.py#L25" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/exception.py#L46" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/layouts.py#L283" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "Return the query parameters that is currently showing in the browser's URL bar.", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/__init__.py#L333" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, persist=None, show_spinner=True, suppress_st_warning=False, max_entries=None, ttl=None)", - "example": "
\n
\n@st.experimental_memo\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.experimental_memo(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a memoized function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A memoized function's cache can be procedurally cleared:

\n
\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n

Memoized data is stored in "pickled" form, which means that the return\nvalue of a memoized function must be pickleable.

\n

Each caller of a memoized function gets its own copy of the cached data.

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to memoize. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "str or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Currently, the only\nvalid value is "disk", which will persist to the local disk.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe cached function.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/runtime/caching/memo_decorator.py#L228" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/__init__.py#L514" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "Set the query parameters that are shown in the browser's URL bar.", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/__init__.py#L363" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\ndataframe = pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n})\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/__init__.py#L253" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func=None, *, show_spinner=True, suppress_st_warning=False)", - "example": "
\n
\n@st.experimental_singleton\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a singleton function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A singleton function's cache can be procedurally cleared:

\n
\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to store singleton objects.

\n

Each singleton object is shared across all users connected to the app.\nSingleton objects must be thread-safe, because they can be accessed from\nmultiple threads concurrently.

\n

(If thread-safety is an issue, consider using st.session_state to\nstore per-session singleton objects instead.)

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the singleton. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the singleton is being created.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe singleton function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/runtime/caching/singleton_decorator.py#L150" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/file_uploader.py#L132" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/form.py#L112" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/form.py#L200" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/config.py#L90" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz as graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/graphviz_chart.py#L30" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None)", - "example": "
\n
\nst.header('This is a header')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L81" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/doc_string.py#L41" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/image.py#L60" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/alert.py#L96" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "Object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/json.py#L28" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body)", - "example": "
\n
\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L236" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L132" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,", - "is_optional": false, - "description": "

or None\nThe data to be plotted. Must have columns called 'lat', 'lon',\n'latitude', or 'longitude'.

\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/map.py#L30" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False)", - "example": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that ``unsafe_allow_html`` is a temporary measure and may\nbe removed from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us\nyour exact use case here:

\n

https://discuss.streamlit.io/t/96

\n

This will help us come up with safe APIs that allow you to do what\nyou want.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L28" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None)", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or Title for the metric

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/metric.py#L43" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/multiselect.py#L83" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/number_input.py#L39" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport plotly.figure_factory as ff\nimport numpy as np\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/plotly_chart.py#L67" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/progress.py#L31" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\ndf = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=df,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=df,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "spec", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/deck_gl_json_chart.py#L23" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/pyplot.py#L36" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False)", - "example": "
\n
\ngenre = st.radio(\n    "What's your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn't select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/radio.py#L35" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/select_slider.py#L35" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/selectbox.py#L35" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/__init__.py#L214" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/commands/page_config.py#L45" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/slider.py#L38" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/snow.py#L24" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "Temporarily displays a message while executing a block of code.", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/__init__.py#L393" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/__init__.py#L494" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None)", - "example": "
\n
\nst.subheader('This is a subheader')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L106" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nst.success('This is a success message!', icon:"\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/alert.py#L126" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L99" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The string is used as the name of the tab.\nThe first tab is selected by default.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/layouts.py#L196" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/text.py#L26" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False)", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/text_widgets.py#L201" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False)", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/text_widgets.py#L37" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/time_widgets.py#L165" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None)", - "example": "
\n
\nst.title('This is a title')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L165" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(df, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L425" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/media.py#L79" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/alert.py#L67" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression and emoji shortcodes.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/write.py#L43" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "Clear all in-memory and on-disk memo caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/runtime/caching/memo_decorator.py#L361" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "Clear all singleton caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/runtime/caching/singleton_decorator.py#L248" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "Create and register a custom component.", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/components/v1/components.py#L243" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "Display an HTML string in an iframe.", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/iframe.py#L57" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "Load a remote URL in an iframe.", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/iframe.py#L24" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(self, data=None, **kwargs)", - "example": "
\n
\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "Concatenate a dataframe to the bottom of the current one.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L494" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(self, altair_chart, use_container_width=False)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L379" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L214" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(self, data, format=\"audio/wav\", start_time=0)", - "example": "
\n
\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/media.py#L41" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons(self)", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/balloons.py#L24" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(50, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L296" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container(*args, **kwargs)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(self, figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/bokeh_chart.py#L33" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(self, label, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/button.py#L51" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(self, label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/camera_input.py#L47" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(self, body, unsafe_allow_html=False)", - "example": "
\n
\nst.caption('This is a string that explains something above.')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L193" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(self, label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/checkbox.py#L36" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(self, body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf omitted, the code will be unstyled.

\n

For a list of available language imports, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L132" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/color_picker.py#L35" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/layouts.py#L72" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/layouts.py#L28" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(self, data=None, width=None, height=None)", - "examples": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the UI element expressed in pixels. If None, a\ndefault width based on the page width is used.

\n", - "default": "width" - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L37" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(self, label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nd = st.date_input(\n    "When's your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/time_widgets.py#L305" - }, - "DeltaGenerator.determine_delta_color_and_direction": { - "name": "determine_delta_color_and_direction", - "signature": "element.determine_delta_color_and_direction(self, delta_color, delta)" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(self, label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/button.py#L118" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty(self)", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(self, body, *, icon=None)", - "example": "
\n
\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(self, exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/exception.py#L46" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/layouts.py#L283" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(self, label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/file_uploader.py#L132" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(self, key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/form.py#L112" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(self, label=\"Submit\", help=None, on_click=None, args=None, kwargs=None)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/form.py#L200" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(self, figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz as graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/graphviz_chart.py#L30" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(self, body, anchor=None)", - "example": "
\n
\nst.header('This is a header')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L81" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(self, obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/doc_string.py#L41" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(self, image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/image.py#L60" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(self, body, *, icon=None)", - "example": "
\n
\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/alert.py#L96" - }, - "DeltaGenerator.is_negative": { - "name": "is_negative", - "signature": "element.is_negative(delta)" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(self, body, *, expanded=True)", - "example": "
\n
\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "Object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/json.py#L28" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(self, body)", - "example": "
\n
\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L236" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L132" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(self, data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,", - "is_optional": false, - "description": "

or None\nThe data to be plotted. Must have columns called 'lat', 'lon',\n'latitude', or 'longitude'.

\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/map.py#L30" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(self, body, unsafe_allow_html=False)", - "example": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that ``unsafe_allow_html`` is a temporary measure and may\nbe removed from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us\nyour exact use case here:

\n

https://discuss.streamlit.io/t/96

\n

This will help us come up with safe APIs that allow you to do what\nyou want.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L28" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(self, label, value, delta=None, delta_color=\"normal\", help=None)", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or Title for the metric

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/metric.py#L43" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(self, label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/multiselect.py#L83" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(self, label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/number_input.py#L39" - }, - "DeltaGenerator.parse_delta": { - "name": "parse_delta", - "signature": "element.parse_delta(delta)" - }, - "DeltaGenerator.parse_label": { - "name": "parse_label", - "signature": "element.parse_label(label)" - }, - "DeltaGenerator.parse_value": { - "name": "parse_value", - "signature": "element.parse_value(value)" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(self, figure_or_data, use_container_width=False, sharing=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport plotly.figure_factory as ff\nimport numpy as np\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/plotly_chart.py#L67" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(self, value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/progress.py#L31" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(self, pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\ndf = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=df,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=df,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "spec", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/deck_gl_json_chart.py#L23" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(self, fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/pyplot.py#L36" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False)", - "example": "
\n
\ngenre = st.radio(\n    "What's your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn't select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/radio.py#L35" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(self, label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/select_slider.py#L35" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/selectbox.py#L35" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(self, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/slider.py#L38" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow(self)", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/snow.py#L24" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(self, body, anchor=None)", - "example": "
\n
\nst.subheader('This is a subheader')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L106" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(self, body, *, icon=None)", - "example": "
\n
\nst.success('This is a success message!', icon:"\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/alert.py#L126" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(self, data=None)", - "example": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L99" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(self, tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The string is used as the name of the tab.\nThe first tab is selected by default.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/layouts.py#L196" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(self, body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/text.py#L26" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(self, label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False)", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/text_widgets.py#L201" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(self, label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False)", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/text_widgets.py#L37" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/time_widgets.py#L165" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(self, body, anchor=None)", - "example": "
\n
\nst.title('This is a title')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/markdown.py#L165" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(self, data=None, spec=None, use_container_width=False, **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(df, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/dataframe_selector.py#L425" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(self, data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/media.py#L79" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(self, body, *, icon=None)", - "example": "
\n
\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/alert.py#L67" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(self, *args, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression and emoji shortcodes.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.12.0/lib/streamlit/elements/write.py#L43" - } - }, - "1.13.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L396" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L229" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0)", - "example": "
\n
\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/media.py#L42" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(50, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L312" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container(*args, **kwargs)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/bokeh_chart.py#L34" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/button.py#L62" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "Function decorator to memoize function executions.", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/runtime/legacy_caching/caching.py#L398" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/camera_input.py#L122" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False)", - "example": "
\n
\nst.caption('This is a string that explains something above.')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/markdown.py#L118" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/checkbox.py#L50" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/markdown.py#L85" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/color_picker.py#L58" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/layouts.py#L74" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L38" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nd = st.date_input(\n    "When's your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/time_widgets.py#L362" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/button.py#L130" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "Use in a `with` block to draw some code on the app, then execute it.", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/exception.py#L47" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/layouts.py#L287" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "Return the query parameters that is currently showing in the browser's URL bar.", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/__init__.py#L339" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, persist=None, show_spinner=True, suppress_st_warning=False, max_entries=None, ttl=None)", - "example": "
\n
\n@st.experimental_memo\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.experimental_memo(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a memoized function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A memoized function's cache can be procedurally cleared:

\n
\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n

Memoized data is stored in "pickled" form, which means that the return\nvalue of a memoized function must be pickleable.

\n

Each caller of a memoized function gets its own copy of the cached data.

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to memoize. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "str or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Currently, the only\nvalid value is "disk", which will persist to the local disk.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe cached function.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/runtime/caching/memo_decorator.py#L230" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/__init__.py#L523" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "Set the query parameters that are shown in the browser's URL bar.", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/__init__.py#L370" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\ndataframe = pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n})\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/__init__.py#L257" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func=None, *, show_spinner=True, suppress_st_warning=False)", - "example": "
\n
\n@st.experimental_singleton\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a singleton function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A singleton function's cache can be procedurally cleared:

\n
\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to store singleton objects.

\n

Each singleton object is shared across all users connected to the app.\nSingleton objects must be thread-safe, because they can be accessed from\nmultiple threads concurrently.

\n

(If thread-safety is an issue, consider using st.session_state to\nstore per-session singleton objects instead.)

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the singleton. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the singleton is being created.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe singleton function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/runtime/caching/singleton_decorator.py#L152" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/file_uploader.py#L212" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/form.py#L113" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/form.py#L202" - }, - "streamlit.gather_metrics": { - "name": "gather_metrics", - "signature": "st.gather_metrics(callable)" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/config.py#L90" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz as graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None)", - "example": "
\n
\nst.header('This is a header')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/heading.py#L26" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/doc_string.py#L43" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/image.py#L61" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/alert.py#L98" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/json.py#L41" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body)", - "example": "
\n
\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/markdown.py#L164" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L146" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,", - "is_optional": false, - "description": "

or None\nThe data to be plotted. Must have columns called 'lat', 'lon',\n'latitude', or 'longitude'.

\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/map.py#L75" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False)", - "example": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that ``unsafe_allow_html`` is a temporary measure and may\nbe removed from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us\nyour exact use case here:

\n

https://discuss.streamlit.io/t/96

\n

This will help us come up with safe APIs that allow you to do what\nyou want.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/markdown.py#L29" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None)", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or Title for the metric

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/metric.py#L43" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/multiselect.py#L127" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/number_input.py#L72" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport plotly.figure_factory as ff\nimport numpy as np\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/plotly_chart.py#L68" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/progress.py#L31" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\ndf = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=df,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=df,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/pyplot.py#L37" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\ngenre = st.radio(\n    "What's your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn't select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/radio.py#L77" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/select_slider.py#L107" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/selectbox.py#L80" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/__init__.py#L217" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/commands/page_config.py#L115" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/slider.py#L178" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "Temporarily displays a message while executing a block of code.", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/__init__.py#L401" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/__init__.py#L503" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None)", - "example": "
\n
\nst.subheader('This is a subheader')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/heading.py#L53" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/alert.py#L129" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L112" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The string is used as the name of the tab.\nThe first tab is selected by default.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/layouts.py#L199" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/text_widgets.py#L250" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/text_widgets.py#L70" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/time_widgets.py#L218" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None)", - "example": "
\n
\nst.title('This is a title')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/heading.py#L81" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(df, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L443" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/media.py#L81" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/alert.py#L68" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression and emoji shortcodes.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/write.py#L44" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "Clear all in-memory and on-disk memo caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/runtime/caching/memo_decorator.py#L376" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "Clear all singleton caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/runtime/caching/singleton_decorator.py#L251" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "Create and register a custom component.", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/components/v1/components.py#L245" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "Display an HTML string in an iframe.", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "Load a remote URL in an iframe.", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(self, data=None, **kwargs)", - "example": "
\n
\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "Concatenate a dataframe to the bottom of the current one.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L513" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(self, altair_chart, use_container_width=False)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L396" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L229" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(self, data, format=\"audio/wav\", start_time=0)", - "example": "
\n
\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/media.py#L42" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons(self)", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(50, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L312" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container(*args, **kwargs)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(self, figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/bokeh_chart.py#L34" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(self, label, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/button.py#L62" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(self, label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/camera_input.py#L122" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(self, body, unsafe_allow_html=False)", - "example": "
\n
\nst.caption('This is a string that explains something above.')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/markdown.py#L118" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(self, label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/checkbox.py#L50" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(self, body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/markdown.py#L85" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/color_picker.py#L58" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/layouts.py#L74" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(self, data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L38" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(self, label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nd = st.date_input(\n    "When's your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/time_widgets.py#L362" - }, - "DeltaGenerator.determine_delta_color_and_direction": { - "name": "determine_delta_color_and_direction", - "signature": "element.determine_delta_color_and_direction(self, delta_color, delta)" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(self, label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/button.py#L130" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty(self)", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(self, body, *, icon=None)", - "example": "
\n
\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(self, exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/exception.py#L47" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/layouts.py#L287" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(self, label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/file_uploader.py#L212" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(self, key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/form.py#L113" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(self, label=\"Submit\", help=None, on_click=None, args=None, kwargs=None)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/form.py#L202" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(self, figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz as graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(self, body, anchor=None)", - "example": "
\n
\nst.header('This is a header')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/heading.py#L26" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(self, obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/doc_string.py#L43" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(self, image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/image.py#L61" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(self, body, *, icon=None)", - "example": "
\n
\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/alert.py#L98" - }, - "DeltaGenerator.is_negative": { - "name": "is_negative", - "signature": "element.is_negative(delta)" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(self, body, *, expanded=True)", - "example": "
\n
\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/json.py#L41" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(self, body)", - "example": "
\n
\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/markdown.py#L164" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L146" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(self, data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,", - "is_optional": false, - "description": "

or None\nThe data to be plotted. Must have columns called 'lat', 'lon',\n'latitude', or 'longitude'.

\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/map.py#L75" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(self, body, unsafe_allow_html=False)", - "example": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that ``unsafe_allow_html`` is a temporary measure and may\nbe removed from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us\nyour exact use case here:

\n

https://discuss.streamlit.io/t/96

\n

This will help us come up with safe APIs that allow you to do what\nyou want.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/markdown.py#L29" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(self, label, value, delta=None, delta_color=\"normal\", help=None)", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or Title for the metric

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/metric.py#L43" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(self, label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/multiselect.py#L127" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(self, label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/number_input.py#L72" - }, - "DeltaGenerator.parse_delta": { - "name": "parse_delta", - "signature": "element.parse_delta(delta)" - }, - "DeltaGenerator.parse_label": { - "name": "parse_label", - "signature": "element.parse_label(label)" - }, - "DeltaGenerator.parse_value": { - "name": "parse_value", - "signature": "element.parse_value(value)" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(self, figure_or_data, use_container_width=False, sharing=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport plotly.figure_factory as ff\nimport numpy as np\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/plotly_chart.py#L68" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(self, value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/progress.py#L31" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(self, pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\ndf = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=df,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=df,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(self, fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/pyplot.py#L37" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\ngenre = st.radio(\n    "What's your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn't select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/radio.py#L77" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(self, label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/select_slider.py#L107" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/selectbox.py#L80" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(self, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/slider.py#L178" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow(self)", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(self, body, anchor=None)", - "example": "
\n
\nst.subheader('This is a subheader')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/heading.py#L53" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(self, body, *, icon=None)", - "example": "
\n
\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/alert.py#L129" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(self, data=None)", - "example": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L112" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(self, tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The string is used as the name of the tab.\nThe first tab is selected by default.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/layouts.py#L199" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(self, body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(self, label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/text_widgets.py#L250" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(self, label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/text_widgets.py#L70" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/time_widgets.py#L218" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(self, body, anchor=None)", - "example": "
\n
\nst.title('This is a title')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/heading.py#L81" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(self, data=None, spec=None, use_container_width=False, **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(df, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/dataframe_selector.py#L443" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(self, data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/media.py#L81" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(self, body, *, icon=None)", - "example": "
\n
\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/alert.py#L68" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(self, *args, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression and emoji shortcodes.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n

Also note that `unsafe_allow_html` is a temporary measure and may be\nremoved from Streamlit at any time.

\n

If you decide to turn on HTML anyway, we ask you to please tell us your\nexact use case here:\nhttps://discuss.streamlit.io/t/96 .

\n

This will help us come up with safe APIs that allow you to do what you\nwant.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.13.0/lib/streamlit/elements/write.py#L44" - } - }, - "1.14.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L395" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, snowflake.snowpark.dataframe.DataFrame, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L228" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0)", - "example": "
\n
\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/media.py#L41" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(50, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, snowflake.snowpark.dataframe.DataFrame, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L311" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container(*args, **kwargs)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "Function decorator to memoize function executions.", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/runtime/legacy_caching/caching.py#L400" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False)", - "example": "
\n
\nst.caption('This is a string that explains something above.')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/markdown.py#L107" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/checkbox.py#L48" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/markdown.py#L74" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/layouts.py#L74" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L37" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nd = st.date_input(\n    "When's your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/time_widgets.py#L356" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/button.py#L143" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "Use in a `with` block to draw some code on the app, then execute it.", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/layouts.py#L287" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "Return the query parameters that is currently showing in the browser's URL bar.", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/commands/query_params.py#L23" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, persist=None, show_spinner=True, suppress_st_warning=False, max_entries=None, ttl=None)", - "example": "
\n
\n@st.experimental_memo\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.experimental_memo(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a memoized function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A memoized function's cache can be procedurally cleared:

\n
\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n

Memoized data is stored in "pickled" form, which means that the return\nvalue of a memoized function must be pickleable.

\n

Each caller of a memoized function gets its own copy of the cached data.

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to memoize. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "str or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Currently, the only\nvalid value is "disk", which will persist to the local disk.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe cached function.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/runtime/caching/memo_decorator.py#L225" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/commands/execution_control.py#L45" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "Set the query parameters that are shown in the browser's URL bar.", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/commands/query_params.py#L54" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\ndataframe = pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n})\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/show.py#L23" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func=None, *, show_spinner=True, suppress_st_warning=False)", - "example": "
\n
\n@st.experimental_singleton\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a singleton function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A singleton function's cache can be procedurally cleared:

\n
\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to store singleton objects.

\n

Each singleton object is shared across all users connected to the app.\nSingleton objects must be thread-safe, because they can be accessed from\nmultiple threads concurrently.

\n

(If thread-safety is an issue, consider using st.session_state to\nstore per-session singleton objects instead.)

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the singleton. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the singleton is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit functions from within\nthe singleton function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/runtime/caching/singleton_decorator.py#L151" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/form.py#L116" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/form.py#L205" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/config.py#L129" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None)", - "example": "
\n
\nst.header('This is a header')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/heading.py#L27" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/doc_string.py#L44" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/image.py#L66" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/alert.py#L97" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body)", - "example": "
\n
\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/markdown.py#L143" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, snowflake.snowpark.dataframe.DataFrame, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L145" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,", - "is_optional": false, - "description": "

or None\nThe data to be plotted. Must have columns called 'lat', 'lon',\n'latitude', or 'longitude'.

\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/map.py#L75" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False)", - "example": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/markdown.py#L29" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None)", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or Title for the metric

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/metric.py#L44" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport plotly.figure_factory as ff\nimport numpy as np\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/plotly_chart.py#L69" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/progress.py#L32" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\ndf = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=df,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=df,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\ngenre = st.radio(\n    "What's your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn't select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/config.py#L90" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/slider.py#L171" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "Temporarily displays a message while executing a block of code.", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None)", - "example": "
\n
\nst.subheader('This is a subheader')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/heading.py#L54" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/alert.py#L127" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L111" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The string is used as the name of the tab.\nThe first tab is selected by default.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/layouts.py#L199" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/text_widgets.py#L249" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None)", - "example": "
\n
\nst.title('This is a title')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/heading.py#L82" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(df, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L442" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/media.py#L80" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/alert.py#L68" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression and emoji shortcodes.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/write.py#L47" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "Clear all in-memory and on-disk memo caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/runtime/caching/memo_decorator.py#L378" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "Clear all singleton caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/runtime/caching/singleton_decorator.py#L251" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "Create and register a custom component.", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "Display an HTML string in an iframe.", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "Load a remote URL in an iframe.", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(self, data=None, **kwargs)", - "example": "
\n
\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "Concatenate a dataframe to the bottom of the current one.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L512" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(self, altair_chart, use_container_width=False)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L395" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, snowflake.snowpark.dataframe.DataFrame, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L228" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(self, data, format=\"audio/wav\", start_time=0)", - "example": "
\n
\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/media.py#L41" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons(self)", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(50, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, snowflake.snowpark.dataframe.DataFrame, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L311" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container(*args, **kwargs)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(self, figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(self, label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(self, label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(self, body, unsafe_allow_html=False)", - "example": "
\n
\nst.caption('This is a string that explains something above.')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/markdown.py#L107" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(self, label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/checkbox.py#L48" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(self, body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/markdown.py#L74" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/layouts.py#L74" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(self, data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L37" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(self, label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nd = st.date_input(\n    "When's your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/time_widgets.py#L356" - }, - "DeltaGenerator.determine_delta_color_and_direction": { - "name": "determine_delta_color_and_direction", - "signature": "element.determine_delta_color_and_direction(self, delta_color, delta)" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(self, label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/button.py#L143" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty(self)", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(self, body, *, icon=None)", - "example": "
\n
\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(self, exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/layouts.py#L287" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(self, label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(self, key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/form.py#L116" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(self, label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/form.py#L205" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(self, figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(self, body, anchor=None)", - "example": "
\n
\nst.header('This is a header')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/heading.py#L27" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(self, obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/doc_string.py#L44" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(self, image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/image.py#L66" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(self, body, *, icon=None)", - "example": "
\n
\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/alert.py#L97" - }, - "DeltaGenerator.is_negative": { - "name": "is_negative", - "signature": "element.is_negative(delta)" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(self, body, *, expanded=True)", - "example": "
\n
\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(self, body)", - "example": "
\n
\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/markdown.py#L143" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, snowflake.snowpark.dataframe.DataFrame, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L145" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(self, data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, numpy.ndarray, Iterable, dict,", - "is_optional": false, - "description": "

or None\nThe data to be plotted. Must have columns called 'lat', 'lon',\n'latitude', or 'longitude'.

\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/map.py#L75" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(self, body, unsafe_allow_html=False)", - "example": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/markdown.py#L29" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(self, label, value, delta=None, delta_color=\"normal\", help=None)", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or Title for the metric

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/metric.py#L44" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(self, label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(self, label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.parse_delta": { - "name": "parse_delta", - "signature": "element.parse_delta(delta)" - }, - "DeltaGenerator.parse_label": { - "name": "parse_label", - "signature": "element.parse_label(label)" - }, - "DeltaGenerator.parse_value": { - "name": "parse_value", - "signature": "element.parse_value(value)" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(self, figure_or_data, use_container_width=False, sharing=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport plotly.figure_factory as ff\nimport numpy as np\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/plotly_chart.py#L69" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(self, value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/progress.py#L32" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(self, pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\ndf = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=df,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=df,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(self, fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\ngenre = st.radio(\n    "What's your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn't select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(self, label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(self, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/slider.py#L171" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow(self)", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(self, body, anchor=None)", - "example": "
\n
\nst.subheader('This is a subheader')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/heading.py#L54" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(self, body, *, icon=None)", - "example": "
\n
\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/alert.py#L127" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(self, data=None)", - "example": "
\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L111" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(self, tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The string is used as the name of the tab.\nThe first tab is selected by default.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/layouts.py#L199" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(self, body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(self, label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/text_widgets.py#L249" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(self, label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nFor accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(self, body, anchor=None)", - "example": "
\n
\nst.title('This is a title')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/heading.py#L82" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(self, data=None, spec=None, use_container_width=False, **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(df, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/dataframe_selector.py#L442" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(self, data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/media.py#L80" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(self, body, *, icon=None)", - "example": "
\n
\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/alert.py#L68" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(self, *args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression and emoji shortcodes.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.14.0/lib/streamlit/elements/write.py#L47" - } - }, - "1.15.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False, theme=None)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L412" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L239" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/media.py#L42" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L325" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container(*args, **kwargs)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/beta_util.py#L43" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "Function decorator to memoize function executions.", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/runtime/legacy_caching/caching.py#L401" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False)", - "example": "
\n
\nst.caption('This is a string that explains something above.')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/markdown.py#L107" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nimport streamlit as st\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/checkbox.py#L48" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/markdown.py#L74" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/layouts.py#L74" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L39" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nd = st.date_input(\n    "When's your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/time_widgets.py#L359" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/button.py#L145" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "Use in a `with` block to draw some code on the app, then execute it.", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/layouts.py#L290" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "Return the query parameters that is currently showing in the browser's URL bar.", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/commands/query_params.py#L23" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, persist=None, show_spinner=True, suppress_st_warning=False, max_entries=None, ttl=None, experimental_allow_widgets=False)", - "example": "
\n
\n@st.experimental_memo\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.experimental_memo(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a memoized function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A memoized function's cache can be procedurally cleared:

\n
\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n

Memoized data is stored in "pickled" form, which means that the return\nvalue of a memoized function must be pickleable.

\n

Each caller of a memoized function gets its own copy of the cached data.

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to memoize. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "str or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Currently, the only\nvalid value is "disk", which will persist to the local disk.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None" - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the memoized function. Defaults to False.

\n", - "default": "False" - }, - { - "name": ".. note", - "type_name": ":", - "is_optional": false, - "description": "

Support for widgets in cached functions is currently experimental.\nTo enable it, set the parameter experimental_allow_widgets=True\nin @st.experimental_memo. Note that this may lead to excessive memory\nuse since the widget value is treated as an additional input parameter\nto the cache. We may remove support for this option at any time without notice.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/runtime/caching/memo_decorator.py#L233" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/commands/execution_control.py#L45" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "Set the query parameters that are shown in the browser's URL bar.", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/commands/query_params.py#L54" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\ndataframe = pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n})\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/show.py#L23" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func=None, *, show_spinner=True, suppress_st_warning=False, experimental_allow_widgets=False)", - "example": "
\n
\n@st.experimental_singleton\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a singleton function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A singleton function's cache can be procedurally cleared:

\n
\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to store singleton objects.

\n

Each singleton object is shared across all users connected to the app.\nSingleton objects must be thread-safe, because they can be accessed from\nmultiple threads concurrently.

\n

(If thread-safety is an issue, consider using st.session_state to\nstore per-session singleton objects instead.)

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the singleton. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the singleton is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe singleton function.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the singleton function. Defaults to False.

\n", - "default": "False" - }, - { - "name": ".. note", - "type_name": ":", - "is_optional": false, - "description": "

Support for widgets in cached functions is currently experimental.\nTo enable it, set the parameter experimental_allow_widgets=True\nin @st.experimental_singleton. Note that this may lead to excessive\nmemory use since the widget value is treated as an additional input\nparameter to the cache. We may remove support for this option at any\ntime without notice.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/runtime/caching/singleton_decorator.py#L162" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/form.py#L116" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/form.py#L206" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/config.py#L129" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None)", - "example": "
\n
\nst.header('This is a header')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/heading.py#L27" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/doc_string.py#L44" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/image.py#L67" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/alert.py#L97" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body)", - "example": "
\n
\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/markdown.py#L143" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L153" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict,", - "is_optional": false, - "description": "

or None\nThe data to be plotted. Must have columns called 'lat', 'lon',\n'latitude', or 'longitude'.

\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/map.py#L76" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False)", - "example": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/markdown.py#L29" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None)", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/metric.py#L44" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=None, **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python::

\n
import numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/plotly_chart.py#L70" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/progress.py#L32" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\ngenre = st.radio(\n    "What's your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn't select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/config.py#L90" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/slider.py#L171" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "Temporarily displays a message while executing a block of code.", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None)", - "example": "
\n
\nst.subheader('This is a subheader')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/heading.py#L54" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/alert.py#L127" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L116" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/layouts.py#L199" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/text_widgets.py#L252" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None)", - "example": "
\n
\nst.title('This is a title')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/heading.py#L82" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=None, **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L464" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/media.py#L115" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/alert.py#L68" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression and emoji shortcodes.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/write.py#L47" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "Clear all in-memory and on-disk memo caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/runtime/caching/memo_decorator.py#L399" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "Clear all singleton caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/runtime/caching/singleton_decorator.py#L276" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "Create and register a custom component.", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "Display an HTML string in an iframe.", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "Load a remote URL in an iframe.", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(self, data=None, **kwargs)", - "example": "
\n
\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "Concatenate a dataframe to the bottom of the current one.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L538" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(self, altair_chart, use_container_width=False, theme=None)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L412" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L239" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(self, data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/media.py#L42" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons(self)", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L325" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container(*args, **kwargs)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(*args, **kwargs)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/beta_util.py#L43" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(self, figure, use_container_width=False)", - "example": "
\n
\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(self, label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(self, label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(self, body, unsafe_allow_html=False)", - "example": "
\n
\nst.caption('This is a string that explains something above.')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/markdown.py#L107" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(self, label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)", - "example": "
\n
\nimport streamlit as st\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/checkbox.py#L48" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(self, body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/markdown.py#L74" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/layouts.py#L74" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(self, data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L39" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(self, label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nd = st.date_input(\n    "When's your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/time_widgets.py#L359" - }, - "DeltaGenerator.determine_delta_color_and_direction": { - "name": "determine_delta_color_and_direction", - "signature": "element.determine_delta_color_and_direction(self, delta_color, delta)" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(self, label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/button.py#L145" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty(self)", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(self, body, *, icon=None)", - "example": "
\n
\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - }, - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(self, exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write("""\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    """)\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write("""\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n""")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/layouts.py#L290" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(self, label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(self, key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/form.py#L116" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(self, label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/form.py#L206" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(self, figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(self, body, anchor=None)", - "example": "
\n
\nst.header('This is a header')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/heading.py#L27" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(self, obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/doc_string.py#L44" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(self, image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/image.py#L67" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(self, body, *, icon=None)", - "example": "
\n
\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/alert.py#L97" - }, - "DeltaGenerator.is_negative": { - "name": "is_negative", - "signature": "element.is_negative(delta)" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(self, body, *, expanded=True)", - "example": "
\n
\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(self, body)", - "example": "
\n
\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/markdown.py#L143" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L153" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(self, data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict,", - "is_optional": false, - "description": "

or None\nThe data to be plotted. Must have columns called 'lat', 'lon',\n'latitude', or 'longitude'.

\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/map.py#L76" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(self, body, unsafe_allow_html=False)", - "example": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/markdown.py#L29" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(self, label, value, delta=None, delta_color=\"normal\", help=None)", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/metric.py#L44" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(self, label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(self, label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.parse_delta": { - "name": "parse_delta", - "signature": "element.parse_delta(delta)" - }, - "DeltaGenerator.parse_label": { - "name": "parse_label", - "signature": "element.parse_label(label)" - }, - "DeltaGenerator.parse_value": { - "name": "parse_value", - "signature": "element.parse_value(value)" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(self, figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=None, **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/plotly_chart.py#L70" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(self, value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/progress.py#L32" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(self, pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(self, fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\ngenre = st.radio(\n    "What's your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn't select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(self, label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(self, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/slider.py#L171" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow(self)", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(self, body, anchor=None)", - "example": "
\n
\nst.subheader('This is a subheader')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/heading.py#L54" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(self, body, *, icon=None)", - "example": "
\n
\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/alert.py#L127" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(self, data=None)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L116" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(self, tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/layouts.py#L199" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(self, body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(self, label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/text_widgets.py#L252" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(self, label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(self, body, anchor=None)", - "example": "
\n
\nst.title('This is a title')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display.

\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/heading.py#L82" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(self, data=None, spec=None, use_container_width=False, theme=None, **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/dataframe_selector.py#L464" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(self, data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/media.py#L115" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(self, body, *, icon=None)", - "example": "
\n
\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "None", - "is_optional": false, - "description": "

An optional parameter, that adds an emoji to the alert.\nThe default is None.\nThis argument can only be supplied by keyword.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/alert.py#L68" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(self, *args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression and emoji shortcodes.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.15.0/lib/streamlit/elements/write.py#L47" - } - }, - "1.16.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L413" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L240" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/media.py#L43" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L326" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L73" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L287" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "Function decorator to memoize function executions.", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/runtime/legacy_caching/caching.py#L401" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False)", - "examples": "
\n
\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/markdown.py#L113" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/checkbox.py#L52" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/markdown.py#L80" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L73" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/time_widgets.py#L373" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/button.py#L145" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "Use in a `with` block to draw some code on the app, then execute it.", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L287" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "Return the query parameters that is currently showing in the browser's URL bar.", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/commands/query_params.py#L23" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, persist=None, show_spinner=True, suppress_st_warning=False, max_entries=None, ttl=None, experimental_allow_widgets=False)", - "example": "
\n
\n@st.experimental_memo\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.experimental_memo(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a memoized function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A memoized function's cache can be procedurally cleared:

\n
\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n

Memoized data is stored in "pickled" form, which means that the return\nvalue of a memoized function must be pickleable.

\n

Each caller of a memoized function gets its own copy of the cached data.

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to memoize. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "str or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Currently, the only\nvalid value is "disk", which will persist to the local disk.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None" - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the memoized function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/runtime/caching/memo_decorator.py#L232" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/commands/execution_control.py#L44" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "Set the query parameters that are shown in the browser's URL bar.", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/commands/query_params.py#L54" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\ndataframe = pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n})\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/show.py#L23" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func=None, *, show_spinner=True, suppress_st_warning=False, max_entries=None, ttl=None, experimental_allow_widgets=False)", - "example": "
\n
\n@st.experimental_singleton\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a singleton function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A singleton function's cache can be procedurally cleared:

\n
\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to store singleton objects.

\n

Each singleton object is shared across all users connected to the app.\nSingleton objects must be thread-safe, because they can be accessed from\nmultiple threads concurrently.

\n

(If thread-safety is an issue, consider using st.session_state to\nstore per-session singleton objects instead.)

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the singleton. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the singleton is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe singleton function.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None" - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the singleton function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/runtime/caching/singleton_decorator.py#L201" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/form.py#L116" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/form.py#L205" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/config.py#L128" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None)", - "examples": "
\n
\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/heading.py#L27" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/doc_string.py#L44" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/image.py#L67" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/alert.py#L99" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body)", - "example": "
\n
\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/markdown.py#L165" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L154" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/map.py#L76" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False)", - "examples": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/markdown.py#L29" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/metric.py#L46" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/progress.py#L32" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/config.py#L89" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/slider.py#L171" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "Temporarily displays a message while executing a block of code.", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None)", - "examples": "
\n
\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/heading.py#L70" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/alert.py#L130" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L117" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L197" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/text_widgets.py#L266" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None)", - "examples": "
\n
\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/heading.py#L114" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L465" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/media.py#L116" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/alert.py#L69" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/write.py#L47" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "Clear all in-memory and on-disk memo caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/runtime/caching/memo_decorator.py#L388" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "Clear all singleton caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/runtime/caching/singleton_decorator.py#L326" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "Create and register a custom component.", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "Display an HTML string in an iframe.", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "Load a remote URL in an iframe.", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(self, data=None, **kwargs)", - "example": "
\n
\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "Concatenate a dataframe to the bottom of the current one.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L539" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(self, altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L413" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L240" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(self, data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/media.py#L43" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons(self)", - "example": "
\n
\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L326" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L73" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L287" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(self, figure, use_container_width=False)", - "example": "
\n
\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(self, label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "example": "
\n
\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(self, label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(self, body, unsafe_allow_html=False)", - "examples": "
\n
\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/markdown.py#L113" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(self, label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/checkbox.py#L52" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(self, body, language=\"python\")", - "example": "
\n
\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/markdown.py#L80" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L73" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(self, data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(self, label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/time_widgets.py#L373" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(self, label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/button.py#L145" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty(self)", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(self, body, *, icon=None)", - "example": "
\n
\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(self, exception)", - "example": "
\n
\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L287" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(self, label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(self, key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/form.py#L116" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(self, label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/form.py#L205" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(self, figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(self, body, anchor=None)", - "examples": "
\n
\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/heading.py#L27" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(self, obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/doc_string.py#L44" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(self, image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nfrom PIL import Image\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/image.py#L67" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(self, body, *, icon=None)", - "example": "
\n
\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/alert.py#L99" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(self, body, *, expanded=True)", - "example": "
\n
\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(self, body)", - "example": "
\n
\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/markdown.py#L165" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L154" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(self, data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/map.py#L76" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(self, body, unsafe_allow_html=False)", - "examples": "
\n
\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/markdown.py#L29" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(self, label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/metric.py#L46" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(self, label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(self, label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(self, figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(self, value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/progress.py#L32" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(self, pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(self, fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(self, label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(self, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nfrom datetime import time\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nfrom datetime import datetime\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/slider.py#L171" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow(self)", - "example": "
\n
\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(self, body, anchor=None)", - "examples": "
\n
\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/heading.py#L70" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(self, body, *, icon=None)", - "example": "
\n
\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/alert.py#L130" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(self, data=None)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L117" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(self, tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/layouts.py#L197" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(self, body)", - "example": "
\n
\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(self, label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/text_widgets.py#L266" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(self, label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(self, body, anchor=None)", - "examples": "
\n
\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/heading.py#L114" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(self, data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/dataframe_selector.py#L465" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(self, data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/media.py#L116" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(self, body, *, icon=None)", - "example": "
\n
\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/alert.py#L69" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(self, *args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nwrite('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.16.0/lib/streamlit/elements/write.py#L47" - } - }, - "1.17.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/media.py#L43" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L301" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "Function decorator to memoize function executions.", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/runtime/legacy_caching/caching.py#L401" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/markdown.py#L117" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/checkbox.py#L52" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\")", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/markdown.py#L82" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/time_widgets.py#L376" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/button.py#L147" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nimport streamlit as st\n\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "Use in a `with` block to draw some code on the app, then execute it.", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L301" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nimport streamlit as st\n\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "Return the query parameters that is currently showing in the browser's URL bar.", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/commands/query_params.py#L23" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, persist=None, show_spinner=True, suppress_st_warning=False, max_entries=None, ttl=None, experimental_allow_widgets=False)", - "example": "
\n
\nimport streamlit as st\n\n@st.experimental_memo\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.experimental_memo(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a memoized function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A memoized function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.experimental_memo\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n

Memoized data is stored in "pickled" form, which means that the return\nvalue of a memoized function must be pickleable.

\n

Each caller of a memoized function gets its own copy of the cached data.

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to memoize. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "str or boolean or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None" - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None" - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the memoized function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/runtime/caching/memo_decorator.py#L236" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/commands/execution_control.py#L46" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nimport streamlit as st\n\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "Set the query parameters that are shown in the browser's URL bar.", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/commands/query_params.py#L56" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndataframe = pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n})\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/show.py#L23" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func=None, *, show_spinner=True, suppress_st_warning=False, max_entries=None, ttl=None, validate=None, experimental_allow_widgets=False)", - "example": "
\n
\nimport streamlit as st\n\n@st.experimental_singleton\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a singleton function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A singleton function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.experimental_singleton\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Function decorator to store singleton objects.

\n

Each singleton object is shared across all users connected to the app.\nSingleton objects must be thread-safe, because they can be accessed from\nmultiple threads concurrently.

\n

(If thread-safety is an issue, consider using st.session_state to\nstore per-session singleton objects instead.)

\n

You can clear a memoized function's cache with f.clear().

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the singleton. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the singleton is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe singleton function.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is\ncalled each time the cached value is accessed. It receives\nthe cached value as its only param; and it returns a bool result.\nIf validate returns False, the current cached value is discarded,\nand the decorated function is called to compute a new value.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the singleton function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/runtime/caching/singleton_decorator.py#L220" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/form.py#L116" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/form.py#L209" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/config.py#L128" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/heading.py#L27" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/doc_string.py#L44" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/image.py#L67" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/alert.py#L103" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/markdown.py#L171" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/map.py#L76" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/markdown.py#L29" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/metric.py#L46" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/progress.py#L32" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/config.py#L89" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nimport streamlit as st\n\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/slider.py#L171" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nimport time\nimport streamlit as st\n\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "Temporarily displays a message while executing a block of code.", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nimport streamlit as st\n\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/heading.py#L72" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/alert.py#L136" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L206" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/text_widgets.py#L268" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/heading.py#L118" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/media.py#L117" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/alert.py#L71" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/write.py#L47" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "Clear all in-memory and on-disk memo caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/runtime/caching/memo_decorator.py#L410" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "Clear all singleton caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/runtime/caching/singleton_decorator.py#L361" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "Create and register a custom component.", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "Display an HTML string in an iframe.", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "Load a remote URL in an iframe.", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(self, data=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "Concatenate a dataframe to the bottom of the current one.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L550" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(self, altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(self, data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/media.py#L43" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons(self)", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L301" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(self, figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(self, label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(self, label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(self, body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/markdown.py#L117" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(self, label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/checkbox.py#L52" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(self, body, language=\"python\")", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/markdown.py#L82" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put columns inside another column.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(self, data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(self, label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/time_widgets.py#L376" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(self, label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/button.py#L147" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty(self)", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(self, exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L301" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(self, label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(self, key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/form.py#L116" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(self, label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/form.py#L209" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(self, figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/heading.py#L27" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(self, obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/doc_string.py#L44" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(self, image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/image.py#L67" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/alert.py#L103" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(self, body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(self, body)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/markdown.py#L171" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(self, data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/map.py#L76" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(self, body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/markdown.py#L29" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(self, label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/metric.py#L46" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(self, label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(self, label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(self, figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(self, value)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nmy_bar = st.progress(0)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/progress.py#L32" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(self, pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(self, fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(self, label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(self, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/slider.py#L171" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow(self)", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/heading.py#L72" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/alert.py#L136" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(self, data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(self, tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/layouts.py#L206" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(self, body)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(self, label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/text_widgets.py#L268" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(self, label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/heading.py#L118" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(self, data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(self, data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/media.py#L117" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/alert.py#L71" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(self, *args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.17.0/lib/streamlit/elements/write.py#L47" - } - }, - "1.18.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/media.py#L43" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L306" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "Function decorator to memoize function executions.", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/runtime/legacy_caching/caching.py#L486" - }, - "streamlit.cache_data": { - "name": "cache_data", - "signature": "st.cache_data(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "str or boolean or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/runtime/caching/cache_data_api.py#L274" - }, - "streamlit.cache_resource": { - "name": "cache_resource", - "signature": "st.cache_resource(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/markdown.py#L119" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/checkbox.py#L52" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\")", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/markdown.py#L83" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/time_widgets.py#L380" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/button.py#L155" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nimport streamlit as st\n\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "Use in a `with` block to draw some code on the app, then execute it.", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L306" - }, - "streamlit.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "st.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n
\n", - "description": "

Display a data editor widget.

\n

Display a data editor widget that allows you to edit DataFrames and\nmany other data structures in a table-like UI.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width\nwill be automatically calculated based on the container width.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean which, if True, disables the data editor and prevents\nany edits. Defaults to False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame, pd.Styler, pyarrow.Table, np.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/data_editor.py#L448" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nimport streamlit as st\n\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "Return the query parameters that is currently showing in the browser's URL bar.", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/commands/query_params.py#L23" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "str or boolean or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/runtime/caching/cache_data_api.py#L274" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/commands/execution_control.py#L46" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nimport streamlit as st\n\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "Set the query parameters that are shown in the browser's URL bar.", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/commands/query_params.py#L56" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndataframe = pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n})\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/show.py#L23" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/form.py#L118" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/form.py#L211" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/config.py#L128" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/heading.py#L31" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/doc_string.py#L44" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/image.py#L67" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/alert.py#L103" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/markdown.py#L174" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/map.py#L76" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/markdown.py#L29" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/metric.py#L46" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/progress.py#L66" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/config.py#L89" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nimport streamlit as st\n\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/slider.py#L171" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nimport time\nimport streamlit as st\n\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "Temporarily displays a message while executing a block of code.", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nimport streamlit as st\n\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/heading.py#L76" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/alert.py#L136" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L208" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/text_widgets.py#L272" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/heading.py#L122" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/media.py#L117" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/alert.py#L71" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/write.py#L47" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "Clear all in-memory and on-disk data caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/runtime/caching/cache_data_api.py#L445" - }, - "streamlit.cache_data.clear": { - "name": "cache_data.clear", - "signature": "st.cache_data.clear(self)", - "description": "Clear all in-memory and on-disk data caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/runtime/caching/cache_data_api.py#L445" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "Clear all cache_resource caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/runtime/caching/cache_resource_api.py#L396" - }, - "streamlit.cache_resource.clear": { - "name": "cache_resource.clear", - "signature": "st.cache_resource.clear(self)", - "description": "Clear all cache_resource caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/runtime/caching/cache_resource_api.py#L396" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "Create and register a custom component.", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "Display an HTML string in an iframe.", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "Load a remote URL in an iframe.", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(self, data=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "Concatenate a dataframe to the bottom of the current one.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L550" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(self, altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(self, data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/media.py#L43" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons(self)", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L306" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(self, figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(self, label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(self, label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(self, body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/markdown.py#L119" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(self, label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/checkbox.py#L52" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(self, body, language=\"python\")", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/markdown.py#L83" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(self, data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(self, label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/time_widgets.py#L380" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(self, label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/button.py#L155" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty(self)", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(self, exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L306" - }, - "DeltaGenerator.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "element.experimental_data_editor(self, data, *, width=None, height=None, use_container_width=False, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n
\n", - "description": "

Display a data editor widget.

\n

Display a data editor widget that allows you to edit DataFrames and\nmany other data structures in a table-like UI.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width\nwill be automatically calculated based on the container width.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean which, if True, disables the data editor and prevents\nany edits. Defaults to False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame, pd.Styler, pyarrow.Table, np.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/data_editor.py#L448" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(self, label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(self, key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/form.py#L118" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(self, label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/form.py#L211" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(self, figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/heading.py#L31" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(self, obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/doc_string.py#L44" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(self, image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/image.py#L67" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/alert.py#L103" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(self, body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(self, body)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/markdown.py#L174" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(self, data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/map.py#L76" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(self, body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/markdown.py#L29" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(self, label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/metric.py#L46" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(self, label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(self, label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(self, figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(self, value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/progress.py#L66" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(self, pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(self, fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(self, label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(self, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/slider.py#L171" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow(self)", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/heading.py#L76" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/alert.py#L136" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(self, data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(self, tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/layouts.py#L208" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(self, body)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(self, label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/text_widgets.py#L272" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(self, label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/heading.py#L122" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(self, data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(self, data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/media.py#L117" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/alert.py#L71" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(self, *args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.18.0/lib/streamlit/elements/write.py#L47" - } - }, - "1.19.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/media.py#L43" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L306" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "Function decorator to memoize function executions.", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/runtime/legacy_caching/caching.py#L486" - }, - "streamlit.cache_data": { - "name": "cache_data", - "signature": "st.cache_data(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "str or boolean or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/runtime/caching/cache_data_api.py#L274" - }, - "streamlit.cache_resource": { - "name": "cache_resource", - "signature": "st.cache_resource(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/markdown.py#L119" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/checkbox.py#L52" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\")", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/markdown.py#L83" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/time_widgets.py#L380" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/button.py#L155" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nimport streamlit as st\n\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "Use in a `with` block to draw some code on the app, then execute it.", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L306" - }, - "streamlit.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "st.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n \n (view standalone Streamlit app)\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a data editor widget.

\n

Display a data editor widget that allows you to edit DataFrames and\nmany other data structures in a table-like UI.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean which, if True, disables the data editor and prevents\nany edits. Defaults to False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame, pd.Styler, pyarrow.Table, np.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/data_editor.py#L448" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nimport streamlit as st\n\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "Return the query parameters that is currently showing in the browser's URL bar.", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/commands/query_params.py#L23" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "str or boolean or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/runtime/caching/cache_data_api.py#L274" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/commands/execution_control.py#L46" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nimport streamlit as st\n\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "Set the query parameters that are shown in the browser's URL bar.", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/commands/query_params.py#L56" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndataframe = pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n})\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/show.py#L23" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/form.py#L118" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/form.py#L211" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/config.py#L128" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/heading.py#L31" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/doc_string.py#L44" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/image.py#L67" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/alert.py#L103" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/markdown.py#L174" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/map.py#L76" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/markdown.py#L29" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/metric.py#L46" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/progress.py#L66" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/config.py#L89" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nimport streamlit as st\n\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/slider.py#L171" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nimport time\nimport streamlit as st\n\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "Temporarily displays a message while executing a block of code.", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nimport streamlit as st\n\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/heading.py#L76" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/alert.py#L136" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L208" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/text_widgets.py#L272" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/heading.py#L122" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/media.py#L117" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/alert.py#L71" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/write.py#L47" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "Clear all in-memory and on-disk data caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/runtime/caching/cache_data_api.py#L445" - }, - "streamlit.cache_data.clear": { - "name": "cache_data.clear", - "signature": "st.cache_data.clear(self)", - "description": "Clear all in-memory and on-disk data caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/runtime/caching/cache_data_api.py#L445" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "Clear all cache_resource caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/runtime/caching/cache_resource_api.py#L396" - }, - "streamlit.cache_resource.clear": { - "name": "cache_resource.clear", - "signature": "st.cache_resource.clear(self)", - "description": "Clear all cache_resource caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/runtime/caching/cache_resource_api.py#L396" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "Create and register a custom component.", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "Display an HTML string in an iframe.", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "Load a remote URL in an iframe.", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(self, data=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "Concatenate a dataframe to the bottom of the current one.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L550" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(self, altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(self, data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/media.py#L43" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons(self)", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L306" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(self, figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(self, label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(self, label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(self, body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/markdown.py#L119" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(self, label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/checkbox.py#L52" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(self, body, language=\"python\")", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/markdown.py#L83" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(self, data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(self, label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/time_widgets.py#L380" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(self, label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/button.py#L155" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty(self)", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(self, exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L306" - }, - "DeltaGenerator.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "element.experimental_data_editor(self, data, *, width=None, height=None, use_container_width=False, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n \n (view standalone Streamlit app)\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a data editor widget.

\n

Display a data editor widget that allows you to edit DataFrames and\nmany other data structures in a table-like UI.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean which, if True, disables the data editor and prevents\nany edits. Defaults to False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame, pd.Styler, pyarrow.Table, np.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/data_editor.py#L448" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(self, label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(self, key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/form.py#L118" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(self, label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/form.py#L211" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(self, figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/heading.py#L31" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(self, obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/doc_string.py#L44" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(self, image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/image.py#L67" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/alert.py#L103" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(self, body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(self, body)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/markdown.py#L174" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(self, data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create scatterplot\ncharts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more\ninfo on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/map.py#L76" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(self, body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/markdown.py#L29" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(self, label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/metric.py#L46" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(self, label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(self, label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(self, figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(self, value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/progress.py#L66" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(self, pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, we advise all users to use a personal Mapbox\ntoken. This ensures the map tiles used in this chart are more\nrobust. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at\nhttps://mapbox.com. It's free! (for moderate usage levels). For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(self, fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(self, label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(self, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/slider.py#L171" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow(self)", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/heading.py#L76" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/alert.py#L136" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(self, data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(self, tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/layouts.py#L208" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(self, body)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(self, label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/text_widgets.py#L272" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(self, label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/heading.py#L122" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(self, data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(self, data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/media.py#L117" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/alert.py#L71" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(self, *args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.19.0/lib/streamlit/elements/write.py#L47" - } - }, - "1.20.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/media.py#L43" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L306" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "Function decorator to memoize function executions.", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/runtime/legacy_caching/caching.py#L486" - }, - "streamlit.cache_data": { - "name": "cache_data", - "signature": "st.cache_data(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "str or boolean or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/runtime/caching/cache_data_api.py#L378" - }, - "streamlit.cache_resource": { - "name": "cache_resource", - "signature": "st.cache_resource(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/markdown.py#L119" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/checkbox.py#L52" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\")", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/markdown.py#L83" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/time_widgets.py#L380" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/button.py#L155" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nimport streamlit as st\n\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "Use in a `with` block to draw some code on the app, then execute it.", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L306" - }, - "streamlit.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "st.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n \n (view standalone Streamlit app)\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a data editor widget.

\n

Display a data editor widget that allows you to edit DataFrames and\nmany other data structures in a table-like UI.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean which, if True, disables the data editor and prevents\nany edits. Defaults to False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame, pd.Styler, pyarrow.Table, np.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/data_editor.py#L448" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nimport streamlit as st\n\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "Return the query parameters that is currently showing in the browser's URL bar.", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/commands/query_params.py#L29" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "str or boolean or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/runtime/caching/cache_data_api.py#L378" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/commands/execution_control.py#L46" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nimport streamlit as st\n\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "

Set the query parameters that are shown in the browser's URL bar.

\n
\n

Warning

\n

Query param embed cannot be set using this method.

\n
\n", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/commands/query_params.py#L65" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndataframe = pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n})\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/show.py#L23" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/form.py#L118" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/form.py#L211" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/config.py#L128" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/heading.py#L31" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/doc_string.py#L44" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/image.py#L67" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/alert.py#L103" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/markdown.py#L174" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/map.py#L76" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/markdown.py#L29" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/metric.py#L46" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/progress.py#L66" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/config.py#L89" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nimport streamlit as st\n\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/slider.py#L171" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nimport time\nimport streamlit as st\n\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "Temporarily displays a message while executing a block of code.", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nimport streamlit as st\n\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/heading.py#L76" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/alert.py#L136" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L208" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/text_widgets.py#L272" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/heading.py#L122" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/media.py#L117" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/alert.py#L71" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/write.py#L47" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "Clear all in-memory and on-disk data caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/runtime/caching/cache_data_api.py#L541" - }, - "streamlit.cache_data.clear": { - "name": "cache_data.clear", - "signature": "st.cache_data.clear(self)", - "description": "Clear all in-memory and on-disk data caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/runtime/caching/cache_data_api.py#L541" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "Clear all cache_resource caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/runtime/caching/cache_resource_api.py#L396" - }, - "streamlit.cache_resource.clear": { - "name": "cache_resource.clear", - "signature": "st.cache_resource.clear(self)", - "description": "Clear all cache_resource caches.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/runtime/caching/cache_resource_api.py#L396" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "Create and register a custom component.", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "Display an HTML string in an iframe.", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "Load a remote URL in an iframe.", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(self, data=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "Concatenate a dataframe to the bottom of the current one.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L550" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(self, altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a chart using the Altair library.", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(self, data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an audio player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/media.py#L43" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons(self)", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "Draw celebratory balloons.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L306" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(self, figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(self, label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(self, label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "Display a widget that returns pictures from the user's webcam.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(self, body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/markdown.py#L119" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(self, label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a checkbox widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/checkbox.py#L52" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(self, body, language=\"python\")", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n

(This is a convenience wrapper around st.markdown())

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/markdown.py#L83" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a color picker widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(self, spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container(self)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(self, data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a dataframe as an interactive table.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(self, label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a date input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/time_widgets.py#L380" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(self, label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, and Emojis.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/button.py#L155" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty(self)", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "Display error message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(self, exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "Display an exception.", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(self, label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L306" - }, - "DeltaGenerator.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "element.experimental_data_editor(self, data, *, width=None, height=None, use_container_width=False, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n \n (view standalone Streamlit app)\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a data editor widget.

\n

Display a data editor widget that allows you to edit DataFrames and\nmany other data structures in a table-like UI.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean which, if True, disables the data editor and prevents\nany edits. Defaults to False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame, pd.Styler, pyarrow.Table, np.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/data_editor.py#L448" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(self, label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(self, key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/form.py#L118" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(self, label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/form.py#L211" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(self, figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a graph using the dagre-d3 library.", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in header formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/heading.py#L31" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(self, obj)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n

Want to quickly check what datatype is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n
\n", - "description": "

Display object's doc string, nicely formatted.

\n

Displays the doc string for this object.

\n", - "args": [ - { - "name": "obj", - "type_name": "Object", - "is_optional": false, - "description": "

The object whose docstring should be displayed.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/doc_string.py#L44" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(self, image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display an image or list of images.", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/image.py#L67" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "Display an informational message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/alert.py#L103" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(self, body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display object or string as a pretty-printed JSON string.", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(self, body)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/markdown.py#L174" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(self, data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(self, data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/map.py#L76" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(self, body, unsafe_allow_html=False)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "Display string formatted as Markdown.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/markdown.py#L29" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(self, label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n \n (view standalone Streamlit app)\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n \n (view standalone Streamlit app)\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/metric.py#L46" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(self, label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(self, label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a numeric input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(self, figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(self, value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "Display a progress bar.", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/progress.py#L66" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(self, pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(self, fig=None, clear_figure=None, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a matplotlib.pyplot figure.", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a radio button widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(self, label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n \n (view standalone Streamlit app)\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(self, label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a select widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(self, label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/slider.py#L171" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow(self)", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "Draw celebratory snowfall.", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "Display text in subheader formatting.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/heading.py#L76" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "Display a success message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/alert.py#L136" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(self, data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(self, tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n \n (view standalone Streamlit app)\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/layouts.py#L208" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(self, body)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "Write fixed-width and preformatted text.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(self, label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "Display a multi-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/text_widgets.py#L272" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(self, label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a single-line text input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/text_widgets.py#L69" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(self, label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "Display a time input widget.", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are not displayed. Display unsupported elements\nas literal characters by backslash-escaping them. E.g.\n1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/time_widgets.py#L212" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(self, body, anchor=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/heading.py#L122" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(self, data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n \n (view standalone Streamlit app)\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "Display a chart using the Vega-Lite library.", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(self, data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "Display a video player.", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_opctional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/media.py#L117" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(self, body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "Display warning message.", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/alert.py#L71" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(self, *args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n \n (view standalone Streamlit app)\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n \n (view standalone Streamlit app)\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n \n (view standalone Streamlit app)\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n \n (view standalone Streamlit app)\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.20.0/lib/streamlit/elements/write.py#L47" - } - }, - "1.21.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", - "description": "

Display a chart using the Altair library.

\n", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", - "description": "

Display an audio player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/media.py#L43" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "

Draw celebratory balloons.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L320" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", - "description": "

Display a button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/runtime/legacy_caching/caching.py#L486" - }, - "streamlit.cache_data": { - "name": "cache_data", - "signature": "st.cache_data(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "str or boolean or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/runtime/caching/cache_data_api.py#L378" - }, - "streamlit.cache_resource": { - "name": "cache_resource", - "signature": "st.cache_resource(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "

Display a widget that returns pictures from the user's webcam.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the caption.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/markdown.py#L132" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", - "description": "

Display a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/checkbox.py#L52" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\", line_numbers=False)", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - }, - { - "name": "line_numbers", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/code.py#L27" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", - "description": "

Display a color picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n
\n", - "description": "

Display a dataframe as an interactive table.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n
\n", - "description": "

Display a date input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/time_widgets.py#L399" - }, - "streamlit.divider": { - "name": "divider", - "signature": "st.divider()", - "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", - "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/markdown.py#L244" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/button.py#L169" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nimport streamlit as st\n\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "

Use in a with block to draw some code on the app, then execute it.

\n", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "

Display error message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "

Display an exception.

\n", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L320" - }, - "streamlit.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "st.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

Display a data editor widget that allows you to edit DataFrames and\nmany other data structures in a table-like UI.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean which, if True, disables the data editor and prevents\nany edits. Defaults to False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame, pd.Styler, pyarrow.Table, np.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/data_editor.py#L448" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nimport streamlit as st\n\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "

Return the query parameters that is currently showing in the browser's URL bar.

\n", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/commands/query_params.py#L29" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "str or boolean or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/runtime/caching/cache_data_api.py#L378" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/commands/execution_control.py#L46" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nimport streamlit as st\n\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "

Set the query parameters that are shown in the browser's URL bar.

\n
\n

Warning

\n

Query param embed cannot be set using this method.

\n
\n", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/commands/query_params.py#L65" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndataframe = pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n})\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/show.py#L23" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/form.py#L118" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/form.py#L211" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/config.py#L128" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", - "description": "

Display a graph using the dagre-d3 library.

\n", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in header formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the header.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/heading.py#L40" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj=)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", - "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", - "args": [ - { - "name": "obj", - "type_name": "any", - "is_optional": false, - "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/doc_string.py#L49" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", - "description": "

Display an image or list of images.

\n", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/image.py#L88" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "

Display an informational message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/alert.py#L103" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", - "description": "

Display object or string as a pretty-printed JSON string.

\n", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/markdown.py#L196" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/map.py#L76" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "

Display string formatted as Markdown.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/markdown.py#L31" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/metric.py#L46" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", - "description": "

Display a numeric input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "

Display a progress bar.

\n", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/progress.py#L66" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", - "description": "

Display a matplotlib.pyplot figure.

\n", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. Defaults to True.

\n", - "default": "s" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", - "description": "

Display a radio button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", - "description": "

Display a select widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/config.py#L89" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nimport streamlit as st\n\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/slider.py#L171" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "

Draw celebratory snowfall.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nimport time\nimport streamlit as st\n\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "

Temporarily displays a message while executing a block of code.

\n", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nimport streamlit as st\n\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in subheader formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the subheader.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/heading.py#L93" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "

Display a success message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/alert.py#L136" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L208" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "

Write fixed-width and preformatted text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the text.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "

Display a multi-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/text_widgets.py#L274" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", - "description": "

Display a single-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"default\" or \"password\"", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/text_widgets.py#L71" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", - "description": "

Display a time input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "step", - "type_name": "int or timedelta", - "is_optional": false, - "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", - "default": "900" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/time_widgets.py#L214" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the title.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/heading.py#L146" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "

Display a chart using the Vega-Lite library.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "

Display a video player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/media.py#L117" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "

Display warning message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/alert.py#L71" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/write.py#L48" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "

Clear all in-memory and on-disk data caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/runtime/caching/cache_data_api.py#L541" - }, - "streamlit.cache_data.clear": { - "name": "cache_data.clear", - "signature": "st.cache_data.clear()", - "description": "

Clear all in-memory and on-disk data caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/runtime/caching/cache_data_api.py#L541" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "

Clear all cache_resource caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/runtime/caching/cache_resource_api.py#L396" - }, - "streamlit.cache_resource.clear": { - "name": "cache_resource.clear", - "signature": "st.cache_resource.clear()", - "description": "

Clear all cache_resource caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/runtime/caching/cache_resource_api.py#L396" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "

Create and register a custom component.

\n", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "

Display an HTML string in an iframe.

\n", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "

Load a remote URL in an iframe.

\n", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(data=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "

Concatenate a dataframe to the bottom of the current one.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L550" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", - "description": "

Display a chart using the Altair library.

\n", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", - "description": "

Display an audio player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/media.py#L43" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "

Draw celebratory balloons.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L320" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", - "description": "

Display a button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "

Display a widget that returns pictures from the user's webcam.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the caption.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/markdown.py#L132" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", - "description": "

Display a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/checkbox.py#L52" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(body, language=\"python\", line_numbers=False)", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - }, - { - "name": "line_numbers", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/code.py#L27" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", - "description": "

Display a color picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n
\n", - "description": "

Display a dataframe as an interactive table.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n
\n", - "description": "

Display a date input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/time_widgets.py#L399" - }, - "DeltaGenerator.dg": { - "name": "dg", - "signature": "element.dg", - "description": "

Get our DeltaGenerator.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/alert.py#L168" - }, - "DeltaGenerator.divider": { - "name": "divider", - "signature": "element.divider()", - "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", - "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/markdown.py#L244" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/button.py#L169" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "

Display error message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "

Display an exception.

\n", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L320" - }, - "DeltaGenerator.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "element.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

Display a data editor widget that allows you to edit DataFrames and\nmany other data structures in a table-like UI.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean which, if True, disables the data editor and prevents\nany edits. Defaults to False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame, pd.Styler, pyarrow.Table, np.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/data_editor.py#L448" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/form.py#L118" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/form.py#L211" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", - "description": "

Display a graph using the dagre-d3 library.

\n", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in header formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the header.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/heading.py#L40" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(obj=)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", - "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", - "args": [ - { - "name": "obj", - "type_name": "any", - "is_optional": false, - "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/doc_string.py#L49" - }, - "DeltaGenerator.id": { - "name": "id", - "signature": "element.id" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", - "description": "

Display an image or list of images.

\n", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/image.py#L88" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "

Display an informational message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/alert.py#L103" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", - "description": "

Display object or string as a pretty-printed JSON string.

\n", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/markdown.py#L196" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/map.py#L76" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "

Display string formatted as Markdown.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/markdown.py#L31" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/metric.py#L46" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", - "description": "

Display a numeric input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "

Display a progress bar.

\n", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/progress.py#L66" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", - "description": "

Display a matplotlib.pyplot figure.

\n", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. Defaults to True.

\n", - "default": "s" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", - "description": "

Display a radio button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", - "description": "

Display a select widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/slider.py#L171" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "

Draw celebratory snowfall.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in subheader formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the subheader.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/heading.py#L93" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "

Display a success message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/alert.py#L136" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/layouts.py#L208" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "

Write fixed-width and preformatted text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the text.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "

Display a multi-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/text_widgets.py#L274" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", - "description": "

Display a single-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"default\" or \"password\"", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/text_widgets.py#L71" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", - "description": "

Display a time input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "step", - "type_name": "int or timedelta", - "is_optional": false, - "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", - "default": "900" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/time_widgets.py#L214" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the title.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/heading.py#L146" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "

Display a chart using the Vega-Lite library.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "

Display a video player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/media.py#L117" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "

Display warning message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/alert.py#L71" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.21.0/lib/streamlit/elements/write.py#L48" - } - }, - "1.22.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", - "description": "

Display a chart using the Altair library.

\n", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", - "description": "

Display an audio player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/media.py#L43" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "

Draw celebratory balloons.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "streamlit.beta_columns": { - "name": "beta_columns", - "signature": "st.beta_columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.beta_container": { - "name": "beta_container", - "signature": "st.beta_container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.beta_expander": { - "name": "beta_expander", - "signature": "st.beta_expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L320" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", - "description": "

Display a button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/runtime/legacy_caching/caching.py#L486" - }, - "streamlit.cache_data": { - "name": "cache_data", - "signature": "st.cache_data(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "str or boolean or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/runtime/caching/cache_data_api.py#L378" - }, - "streamlit.cache_resource": { - "name": "cache_resource", - "signature": "st.cache_resource(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "

Display a widget that returns pictures from the user's webcam.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the caption.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/markdown.py#L132" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", - "description": "

Display a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/checkbox.py#L52" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\", line_numbers=False)", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - }, - { - "name": "line_numbers", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/code.py#L27" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", - "description": "

Display a color picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n
\n", - "description": "

Display a dataframe as an interactive table.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n
\n", - "description": "

Display a date input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/time_widgets.py#L399" - }, - "streamlit.divider": { - "name": "divider", - "signature": "st.divider()", - "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", - "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/markdown.py#L244" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/button.py#L169" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nimport streamlit as st\n\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "

Use in a with block to draw some code on the app, then execute it.

\n", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "

Display error message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "

Display an exception.

\n", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L320" - }, - "streamlit.experimental_connection": { - "name": "experimental_connection", - "signature": "st.experimental_connection(name, type=None, max_entries=None, ttl=None, **kwargs)", - "examples": "
\n

The easiest way to create a first-party (SQL or Snowpark) connection is to use their\ndefault names and define corresponding sections in your secrets.toml file.

\n
\nimport streamlit as st\nconn = st.experimental_connection("sql") # Config section defined in [connections.sql] in secrets.toml.\n
\n

Creating a SQLConnection with a custom name requires you to explicitly specify the\ntype. If type is not passed as a kwarg, it must be set in the appropriate section of\nsecrets.toml.

\n
\nimport streamlit as st\nconn1 = st.experimental_connection("my_sql_connection", type="sql") # Config section defined in [connections.my_sql_connection].\nconn2 = st.experimental_connection("my_other_sql_connection") # type must be set in [connections.my_other_sql_connection].\n
\n

Passing the full module path to the connection class that you want to use can be\nuseful, especially when working with a custom connection:

\n
\nimport streamlit as st\nconn = st.experimental_connection("my_sql_connection", type="streamlit.connections.SQLConnection")\n
\n

Finally, you can pass the connection class to use directly to this function. Doing\nso allows static type checking tools such as mypy to infer the exact return\ntype of st.experimental_connection.

\n
\nimport streamlit as st\nfrom streamlit.connections import SQLConnection\nconn = st.experimental_connection("my_sql_connection", type=SQLConnection)\n
\n
\n", - "description": "

Create a new connection to a data store or API, or return an existing one.

\n

Config options, credentials, secrets, etc. for connections are taken from various\nsources:

\n
    \n
  • Any connection-specific configuration files.
    • \n
  • An app's secrets.toml files.
    • \n
  • The kwargs passed to this function.
    • \n
\n", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

The connection name used for secrets lookup in [connections.<name>].\nType will be inferred from passing "sql" or "snowpark".

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or connection class or None", - "is_optional": false, - "description": "

The type of connection to create. It can be a keyword ("sql" or "snowpark"),\na path to an importable class, or an imported class reference. All classes\nmust extend st.connections.ExperimentalBaseConnection and implement the\n_connect() method. If the type kwarg is None, a type field must be set\nin the connection's section in secrets.toml.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of connections to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Additional connection specific kwargs that are passed to the Connection's\n_connect() method. Learn more from the specific Connection's documentation.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "Connection object", - "is_generator": false, - "description": "

An initialized Connection object of the specified type.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/runtime/connection_factory.py#L170" - }, - "streamlit.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "st.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

Display a data editor widget that allows you to edit DataFrames and\nmany other data structures in a table-like UI.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean which, if True, disables the data editor and prevents\nany edits. Defaults to False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame, pd.Styler, pyarrow.Table, np.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/data_editor.py#L448" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nimport streamlit as st\n\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "

Return the query parameters that is currently showing in the browser's URL bar.

\n", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/commands/query_params.py#L29" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.\nNote that ttl is incompatible with persist="disk" - ttl will be\nignored if persist is specified.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "str or boolean or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/runtime/caching/cache_data_api.py#L378" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/commands/execution_control.py#L46" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nimport streamlit as st\n\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "

Set the query parameters that are shown in the browser's URL bar.

\n
\n

Warning

\n

Query param embed cannot be set using this method.

\n
\n", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/commands/query_params.py#L65" - }, - "streamlit.experimental_show": { - "name": "experimental_show", - "signature": "st.experimental_show(*args)", - "notes": "
\n

This is an experimental feature with usage limitations:

\n
    \n
  • The method must be called with the name show.
    • \n
  • Must be called in one line of code, and only once per line.
    • \n
  • \n
    When passing multiple arguments the inclusion of , or ) in a string
    \n
    argument may cause an error.
    \n
    \n
    • \n
\n
\n", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndataframe = pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n})\nst.experimental_show(dataframe)\n
\n
\n", - "description": "

Write arguments and argument names to your app for debugging purposes.

\n

Show() has similar properties to write():

\n
\n
    \n
  1. You can pass in multiple arguments, all of which will be debugged.
    2. \n
  2. It returns None, so it's "slot" in the app cannot be reused.
    3. \n
\n
\n

Note: This is an experimental feature. See\nhttps://docs.streamlit.io/library/advanced-features/prerelease#experimental for more information.

\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to debug in the App.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/show.py#L23" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float or timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/form.py#L118" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/form.py#L211" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/config.py#L131" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", - "description": "

Display a graph using the dagre-d3 library.

\n", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in header formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the header.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/heading.py#L40" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj=)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", - "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", - "args": [ - { - "name": "obj", - "type_name": "any", - "is_optional": false, - "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/doc_string.py#L49" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", - "description": "

Display an image or list of images.

\n", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/image.py#L88" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "

Display an informational message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/alert.py#L103" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", - "description": "

Display object or string as a pretty-printed JSON string.

\n", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/markdown.py#L196" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/map.py#L76" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "

Display string formatted as Markdown.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/markdown.py#L31" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/metric.py#L46" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", - "description": "

Display a numeric input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "

Display a progress bar.

\n", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/progress.py#L66" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", - "description": "

Display a matplotlib.pyplot figure.

\n", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. Defaults to True.

\n", - "default": "s" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", - "description": "

Display a radio button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", - "description": "

Display a select widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/config.py#L92" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nimport streamlit as st\n\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used in your app, and must only\nbe set once.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\" or \"expanded\" or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/slider.py#L171" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "

Draw celebratory snowfall.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nimport time\nimport streamlit as st\n\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "

Temporarily displays a message while executing a block of code.

\n", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nimport streamlit as st\n\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in subheader formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the subheader.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/heading.py#L93" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "

Display a success message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/alert.py#L136" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L208" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "

Write fixed-width and preformatted text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the text.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "

Display a multi-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/text_widgets.py#L274" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", - "description": "

Display a single-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"default\" or \"password\"", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/text_widgets.py#L71" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", - "description": "

Display a time input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "step", - "type_name": "int or timedelta", - "is_optional": false, - "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", - "default": "900" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/time_widgets.py#L214" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the title.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/heading.py#L146" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "

Display a chart using the Vega-Lite library.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "

Display a video player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/media.py#L117" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "

Display warning message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/alert.py#L71" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/write.py#L48" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "

Clear all in-memory and on-disk data caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/runtime/caching/cache_data_api.py#L541" - }, - "streamlit.cache_data.clear": { - "name": "cache_data.clear", - "signature": "st.cache_data.clear()", - "description": "

Clear all in-memory and on-disk data caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/runtime/caching/cache_data_api.py#L541" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "

Clear all cache_resource caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/runtime/caching/cache_resource_api.py#L396" - }, - "streamlit.cache_resource.clear": { - "name": "cache_resource.clear", - "signature": "st.cache_resource.clear()", - "description": "

Clear all cache_resource caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/runtime/caching/cache_resource_api.py#L396" - }, - "streamlit.connections.ExperimentalBaseConnection": { - "name": "ExperimentalBaseConnection", - "signature": "st.connections.ExperimentalBaseConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/base_connection.py#L137" - } - ], - "properties": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/base_connection.py#L25", - "description": "

The abstract base class that all Streamlit Connections must inherit from.

\n

This base class provides connection authors with a standardized way to hook into the\nst.experimental_connection() factory function: connection authors are required to\nprovide an implementation for the abstract method _connect in their subclasses.

\n

Additionally, it also provides a few methods/properties designed to make\nimplementation of connections more convenient. See the docstrings for each of the\nmethods of this class for more information

\n
\n

Note

\n

While providing an implementation of _connect is technically all that's\nrequired to define a valid connection, connections should also provide the user\nwith context-specific ways of interacting with the underlying connection object.\nFor example, the first-party SQLConnection provides a query() method for\nreads and a session property for more complex operations.

\n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SQLConnection": { - "name": "SQLConnection", - "signature": "st.connections.SQLConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "query", - "signature": "st.connections.query.query(sql, *, ttl=None, index_col=None, chunksize=None, params=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners where owner = :owner", ttl=3600, params={"owner":"barbara"})\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only query.

", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "index_col", - "type_name": "str, list of str, or None", - "is_optional": false, - "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", - "default": "None." - }, - { - "name": "chunksize", - "type_name": "int or None", - "is_optional": false, - "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", - "default": "None." - }, - { - "name": "params", - "type_name": "list, tuple, dict or None", - "is_optional": false, - "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", - "default": "None." - }, - { - "name": "**kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

Additional keyword arguments are passed to pd.read_sql.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/sql_connection.py#L121" - }, - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/base_connection.py#L137" - } - ], - "properties": [ - { - "name": "session", - "signature": "st.connections.session.session", - "example": "
\n
\nimport streamlit as st\nconn = st.experimental_connection("sql")\nn = st.slider("Pick a number")\nif st.button("Add the number!"):\n    with conn.session as session:\n        session.execute("INSERT INTO numbers (val) VALUES (:n);", {"n": n})\n        session.commit()\n
\n
\n", - "description": "

Return a SQLAlchemy Session.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/sql_connection.py#L226" - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/sql_connection.py#L45", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

A connection to a SQL database using a SQLAlchemy Engine. Initialize using st.experimental_connection("<name>", type="sql").

\n

SQLConnection provides the query() convenience method, which can be used to\nrun simple read-only queries with both caching and simple error handling/retries.\nMore complex DB interactions can be performed by using the .session property\nto receive a regular SQLAlchemy Session.

\n

SQLConnections should always be created using st.experimental_connection(),\nnot initialized directly. Connection parameters for a SQLConnection can be\nspecified using either st.secrets or **kwargs. Some frequently used\nparameters include:

\n
    \n
  • url or arguments for sqlalchemy.engine.URL.create().\nMost commonly it includes a dialect, host, database, username and password.
    • \n
  • create_engine_kwargs can be passed via st.secrets, such as for\nsnowflake-sqlalchemy\nor Google BigQuery.\nThese can also be passed directly as **kwargs to experimental_connection().
    • \n
  • autocommit=True to run with isolation level AUTOCOMMIT. Default is False.
    • \n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SnowparkConnection": { - "name": "SnowparkConnection", - "signature": "st.connections.SnowparkConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "query", - "signature": "st.connections.query.query(sql, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only SQL query.

", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/snowpark_connection.py#L123" - }, - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/base_connection.py#L137" - }, - { - "name": "safe_session", - "signature": "st.connections.safe_session.safe_session()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\nwith conn.safe_session() as session:\n    df = session.table("mytable").limit(10).to_pandas()\n\nst.dataframe(df)\n
\n
\n", - "description": "

Grab the underlying Snowpark session in a thread-safe manner.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/snowpark_connection.py#L207" - } - ], - "properties": [ - { - "name": "session", - "signature": "st.connections.session.session", - "example": "
\n
\nimport streamlit as st\n\nsession = st.experimental_connection("snowpark").session\ndf = session.table("mytable").limit(10).to_pandas()\nst.dataframe(df)\n
\n
\n", - "description": "

Access the underlying Snowpark session.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/snowpark_connection.py#L184" - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/snowpark_connection.py#L70", - "description": "

A connection to Snowpark using snowflake.snowpark.session.Session. Initialize using

\n

st.experimental_connection("<name>", type="snowpark").

\n

In addition to accessing the Snowpark Session, SnowparkConnection supports direct SQL querying using\nquery("...") and thread safe access using with conn.safe_session():. See methods\nbelow for more information. SnowparkConnections should always be created using\nst.experimental_connection(), not initialized directly.

\n
\n

Note

\n

We don't expect this iteration of SnowparkConnection to be able to scale\nwell in apps with many concurrent users due to the lock contention that will occur\nover the single underlying Session object under high load.

\n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SQLConnection.query": { - "name": "query", - "signature": "SQLConnection.query(sql, *, ttl=None, index_col=None, chunksize=None, params=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners where owner = :owner", ttl=3600, params={"owner":"barbara"})\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only query.

\n

This method implements both query result caching (with caching behavior\nidentical to that of using @st.cache_data) as well as simple error handling/retries.

\n
\n

Note

\n

Queries that are run without a specified ttl are cached indefinitely.

\n
\n

Aside from the ttl kwarg, all kwargs passed to this function are passed down\nto pd.read_sql\nand have the behavior described in the pandas documentation.

\n", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "index_col", - "type_name": "str, list of str, or None", - "is_optional": false, - "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", - "default": "None." - }, - { - "name": "chunksize", - "type_name": "int or None", - "is_optional": false, - "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", - "default": "None." - }, - { - "name": "params", - "type_name": "list, tuple, dict or None", - "is_optional": false, - "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", - "default": "None." - }, - { - "name": "**kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

Additional keyword arguments are passed to pd.read_sql.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/sql_connection.py#L121" - }, - "streamlit.connections.SQLConnection.reset": { - "name": "reset", - "signature": "SQLConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.connections.SQLConnection.session": { - "name": "session", - "signature": "SQLConnection.session", - "example": "
\n
\nimport streamlit as st\nconn = st.experimental_connection("sql")\nn = st.slider("Pick a number")\nif st.button("Add the number!"):\n    with conn.session as session:\n        session.execute("INSERT INTO numbers (val) VALUES (:n);", {"n": n})\n        session.commit()\n
\n
\n", - "description": "

Return a SQLAlchemy Session.

\n

Users of this connection should use the contextmanager pattern for writes,\ntransactions, and anything more complex than simple read queries.

\n

See the usage example below, which assumes we have a table numbers with a\nsingle integer column val. The SQLAlchemy docs also contain\nmuch more information on the usage of sessions.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/sql_connection.py#L226" - }, - "streamlit.connections.SnowparkConnection.query": { - "name": "query", - "signature": "SnowparkConnection.query(sql, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only SQL query.

\n

This method implements both query result caching (with caching behavior\nidentical to that of using @st.cache_data) as well as simple error handling/retries.

\n
\n

Note

\n

Queries that are run without a specified ttl are cached indefinitely.

\n
\n", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/snowpark_connection.py#L123" - }, - "streamlit.connections.SnowparkConnection.reset": { - "name": "reset", - "signature": "SnowparkConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.connections.SnowparkConnection.safe_session": { - "name": "safe_session", - "signature": "SnowparkConnection.safe_session()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\nwith conn.safe_session() as session:\n    df = session.table("mytable").limit(10).to_pandas()\n\nst.dataframe(df)\n
\n
\n", - "description": "

Grab the underlying Snowpark session in a thread-safe manner.

\n

As operations on a Snowpark session are not thread safe, we need to take care\nwhen using a session in the context of a Streamlit app where each script run\noccurs in its own thread. Using the contextmanager pattern to do this ensures\nthat access on this connection's underlying Session is done in a thread-safe\nmanner.

\n

Information on how to use Snowpark sessions can be found in the Snowpark documentation.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/snowpark_connection.py#L207" - }, - "streamlit.connections.SnowparkConnection.session": { - "name": "session", - "signature": "SnowparkConnection.session", - "example": "
\n
\nimport streamlit as st\n\nsession = st.experimental_connection("snowpark").session\ndf = session.table("mytable").limit(10).to_pandas()\nst.dataframe(df)\n
\n
\n", - "description": "

Access the underlying Snowpark session.

\n
\n

Note

\n

Snowpark sessions are not thread safe. Users of this method are\nresponsible for ensuring that access to the session returned by this method is\ndone in a thread-safe manner. For most users, we recommend using the thread-safe\nsafe_session() method and a with block.

\n
\n

Information on how to use Snowpark sessions can be found in the Snowpark documentation.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/snowpark_connection.py#L184" - }, - "streamlit.connections.ExperimentalBaseConnection.reset": { - "name": "reset", - "signature": "ExperimentalBaseConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "

Create and register a custom component.

\n", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "

Display an HTML string in an iframe.

\n", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "

Load a remote URL in an iframe.

\n", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(data=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "

Concatenate a dataframe to the bottom of the current one.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L550" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", - "description": "

Display a chart using the Altair library.

\n", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.vegalite.v2.api.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L422" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L247" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", - "description": "

Display an audio player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/media.py#L43" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "

Draw celebratory balloons.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L334" - }, - "DeltaGenerator.beta_columns": { - "name": "beta_columns", - "signature": "element.beta_columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.beta_container": { - "name": "beta_container", - "signature": "element.beta_container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.beta_expander": { - "name": "beta_expander", - "signature": "element.beta_expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L320" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", - "description": "

Display a button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "

Display a widget that returns pictures from the user's webcam.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the caption.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/markdown.py#L132" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", - "description": "

Display a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/checkbox.py#L52" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(body, language=\"python\", line_numbers=False)", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - }, - { - "name": "line_numbers", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/code.py#L27" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", - "description": "

Display a color picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or list of numbers", - "is_optional": false, - "description": "
\n
If an int
\n
Specifies the number of columns to insert, and all columns\nhave equal width.
\n
If a list of numbers
\n

Creates a column for each number, and each\ncolumn's width is proportional to the number provided. Numbers can\nbe ints or floats, but they must be positive.

\n

For example, st.columns([3, 1, 2]) creates 3 columns where\nthe first column is 3 times the width of the second, and the last\ncolumn is 2 times that width.

\n
\n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "string (\"small\", \"medium\", or \"large\")", - "is_optional": false, - "description": "

An optional string, which indicates the size of the gap between each column.\nThe default is a small gap between columns. This argument can only be supplied by\nkeyword.

\n", - "default": "a" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(data=None, width=None, height=None, *, use_container_width=False)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n 
\nst.dataframe(df, 200, 100)\n
\n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n
\n", - "description": "

Display a dataframe as an interactive table.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. (It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.)\nStyler support is experimental!\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L40" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n
\n", - "description": "

Display a date input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/time_widgets.py#L399" - }, - "DeltaGenerator.dg": { - "name": "dg", - "signature": "element.dg", - "description": "

Get our DeltaGenerator.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/alert.py#L168" - }, - "DeltaGenerator.divider": { - "name": "divider", - "signature": "element.divider()", - "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", - "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/markdown.py#L244" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/button.py#L169" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "

Display error message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "

Display an exception.

\n", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L320" - }, - "DeltaGenerator.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "element.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.experimental_data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

Display a data editor widget that allows you to edit DataFrames and\nmany other data structures in a table-like UI.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean which, if True, disables the data editor and prevents\nany edits. Defaults to False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame, pd.Styler, pyarrow.Table, np.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/data_editor.py#L448" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/file_uploader.py#L205" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/form.py#L118" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/form.py#L211" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", - "description": "

Display a graph using the dagre-d3 library.

\n", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in header formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the header.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/heading.py#L40" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(obj=)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", - "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", - "args": [ - { - "name": "obj", - "type_name": "any", - "is_optional": false, - "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/doc_string.py#L49" - }, - "DeltaGenerator.id": { - "name": "id", - "signature": "element.id" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", - "description": "

Display an image or list of images.

\n", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "'auto' or 'always' or 'never' or bool", - "is_optional": false, - "description": "

If 'auto', set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf 'always' or True, set the image's width to the column width.\nIf 'never' or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "'RGB' or 'BGR'", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to 'RGB', meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to 'BGR', instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "'JPEG', 'PNG', or 'auto'", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to 'auto' which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/image.py#L88" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "

Display an informational message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/alert.py#L103" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", - "description": "

Display object or string as a pretty-printed JSON string.

\n", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/markdown.py#L196" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L160" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/map.py#L76" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown(\u201dThis text is :red[colored red], and this is **:blue[colored]** and bold.\u201d)\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "

Display string formatted as Markdown.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/markdown.py#L31" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "str", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/metric.py#L46" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", - "description": "

Display a numeric input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int or float or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "{'streamlit', 'private', 'secret', 'public'}", - "is_optional": false, - "description": "

Use 'streamlit' to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "

Display a progress bar.

\n", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/progress.py#L66" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", - "description": "

Display a matplotlib.pyplot figure.

\n", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. Defaults to True.

\n", - "default": "s" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", - "description": "

Display a radio button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", - "description": "

Display a select widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int/float/timedelta or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/slider.py#L171" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "

Draw celebratory snowfall.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in subheader formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the subheader.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/heading.py#L93" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "

Display a success message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/alert.py#L136" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L122" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/layouts.py#L208" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "

Write fixed-width and preformatted text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the text.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "

Display a multi-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/text_widgets.py#L274" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", - "description": "

Display a single-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"default\" or \"password\"", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/text_widgets.py#L71" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", - "description": "

Display a time input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\" or \"hidden\" or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "step", - "type_name": "int or timedelta", - "is_optional": false, - "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", - "default": "900" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/time_widgets.py#L214" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the title.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/heading.py#L146" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "

Display a chart using the Vega-Lite library.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/dataframe_selector.py#L475" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "

Display a video player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/media.py#L117" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "

Display warning message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/alert.py#L71" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.22.0/lib/streamlit/elements/write.py#L48" - } - }, - "1.23.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", - "description": "

Display a chart using the Altair library.

\n", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L492" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L317" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", - "description": "

Display an audio player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/media.py#L42" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "

Draw celebratory balloons.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L404" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", - "description": "

Display a button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/runtime/legacy_caching/caching.py#L486" - }, - "streamlit.cache_data": { - "name": "cache_data", - "signature": "st.cache_data(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "\"disk\", boolean, or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/runtime/caching/cache_data_api.py#L378" - }, - "streamlit.cache_resource": { - "name": "cache_resource", - "signature": "st.cache_resource(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "

Display a widget that returns pictures from the user's webcam.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the caption.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/markdown.py#L132" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", - "description": "

Display a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/checkbox.py#L52" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\", line_numbers=False)", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - }, - { - "name": "line_numbers", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/code.py#L27" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", - "description": "

Display a color picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or iterable of numbers", - "is_optional": false, - "description": "

Controls the number and width of columns to insert. Can be one of:

\n
    \n
  • An integer that specifies the number of columns. All columns have equal\nwidth in this case.
    • \n
  • An iterable of numbers (int or float) that specify the relative width of\neach column. E.g. [0.7, 0.3] creates two columns where the first\none takes up 70% of the available with and the second one takes up 30%.\nOr [1, 2, 3] creates three columns where the second one is two times\nthe width of the first one, and the third one is three times that width.
    • \n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "\"small\", \"medium\", or \"large\"", - "is_optional": false, - "description": "

The size of the gap between the columns. Defaults to "small". This\nargument can only be supplied by keyword.

\n", - "default": "s" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/layouts.py#L77" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/layouts.py#L29" - }, - "streamlit.data_editor": { - "name": "data_editor", - "signature": "st.data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n

Mixing data types within a column can make the column uneditable.\nAdditionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.

\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/data_editor.py#L527" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False, hide_index=None, column_order=None, column_config=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n

Or you can customize the dataframe via column_config, hide_index, or column_order:

\n
\nimport random\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    {\n        "name": ["Roadmap", "Extras", "Issues"],\n        "url": ["https://roadmap.streamlit.app", "https://extras.streamlit.app", "https://issues.streamlit.app"],\n        "stars": [random.randint(0, 1000) for _ in range(3)],\n        "views_history": [[random.randint(0, 5000) for _ in range(30)] for _ in range(3)],\n    }\n)\nst.dataframe(\n    df,\n    column_config={\n        "name": "App name",\n        "stars": st.column_config.NumberColumn(\n            "Github Stars",\n            help="Number of stars on GitHub",\n            format="%d \u2b50",\n        ),\n        "url": st.column_config.LinkColumn("App URL"),\n        "views_history": st.column_config.LineChartColumn(\n            "Views (past 30 days)", y_min=0, y_max=5000\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Display a dataframe as an interactive table.

\n

This command works with dataframes from Pandas, PyArrow, Snowpark, and PySpark.\nIt can also display several other types that can be converted to dataframes,\ne.g. numpy arrays, lists, sets and dictionaries.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat. This needs to be a dictionary where each key is a column name and\nthe value is one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L43" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n
\n", - "description": "

Display a date input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/time_widgets.py#L398" - }, - "streamlit.divider": { - "name": "divider", - "signature": "st.divider()", - "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", - "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/markdown.py#L244" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/button.py#L169" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nimport streamlit as st\n\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "

Use in a with block to draw some code on the app, then execute it.

\n", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "

Display error message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "

Display an exception.

\n", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/layouts.py#L317" - }, - "streamlit.experimental_connection": { - "name": "experimental_connection", - "signature": "st.experimental_connection(name, type=None, max_entries=None, ttl=None, **kwargs)", - "examples": "
\n

The easiest way to create a first-party (SQL or Snowpark) connection is to use their\ndefault names and define corresponding sections in your secrets.toml file.

\n
\nimport streamlit as st\nconn = st.experimental_connection("sql") # Config section defined in [connections.sql] in secrets.toml.\n
\n

Creating a SQLConnection with a custom name requires you to explicitly specify the\ntype. If type is not passed as a kwarg, it must be set in the appropriate section of\nsecrets.toml.

\n
\nimport streamlit as st\nconn1 = st.experimental_connection("my_sql_connection", type="sql") # Config section defined in [connections.my_sql_connection].\nconn2 = st.experimental_connection("my_other_sql_connection") # type must be set in [connections.my_other_sql_connection].\n
\n

Passing the full module path to the connection class that you want to use can be\nuseful, especially when working with a custom connection:

\n
\nimport streamlit as st\nconn = st.experimental_connection("my_sql_connection", type="streamlit.connections.SQLConnection")\n
\n

Finally, you can pass the connection class to use directly to this function. Doing\nso allows static type checking tools such as mypy to infer the exact return\ntype of st.experimental_connection.

\n
\nimport streamlit as st\nfrom streamlit.connections import SQLConnection\nconn = st.experimental_connection("my_sql_connection", type=SQLConnection)\n
\n
\n", - "description": "

Create a new connection to a data store or API, or return an existing one.

\n

Config options, credentials, secrets, etc. for connections are taken from various\nsources:

\n
    \n
  • Any connection-specific configuration files.
    • \n
  • An app's secrets.toml files.
    • \n
  • The kwargs passed to this function.
    • \n
\n", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

The connection name used for secrets lookup in [connections.<name>].\nType will be inferred from passing "sql" or "snowpark".

\n", - "default": null - }, - { - "name": "type", - "type_name": "str, connection class, or None", - "is_optional": false, - "description": "

The type of connection to create. It can be a keyword ("sql" or "snowpark"),\na path to an importable class, or an imported class reference. All classes\nmust extend st.connections.ExperimentalBaseConnection and implement the\n_connect() method. If the type kwarg is None, a type field must be set\nin the connection's section in secrets.toml.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of connections to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float, timedelta, or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Additional connection specific kwargs that are passed to the Connection's\n_connect() method. Learn more from the specific Connection's documentation.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "Connection object", - "is_generator": false, - "description": "

An initialized Connection object of the specified type.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/runtime/connection_factory.py#L170" - }, - "streamlit.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "st.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n

Mixing data types within a column can make the column uneditable.\nAdditionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.

\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/data_editor.py#L527" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nimport streamlit as st\n\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "

Return the query parameters that is currently showing in the browser's URL bar.

\n", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/commands/query_params.py#L29" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "\"disk\", boolean, or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/runtime/caching/cache_data_api.py#L378" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/commands/execution_control.py#L46" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nimport streamlit as st\n\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "

Set the query parameters that are shown in the browser's URL bar.

\n
\n

Warning

\n

Query param embed cannot be set using this method.

\n
\n", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/commands/query_params.py#L65" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/runtime/caching/cache_resource_api.py#L258" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/file_uploader.py#L214" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/form.py#L118" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/form.py#L211" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/config.py#L131" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", - "description": "

Display a graph using the dagre-d3 library.

\n", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in header formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the header.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/heading.py#L40" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj=)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", - "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", - "args": [ - { - "name": "obj", - "type_name": "any", - "is_optional": false, - "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/doc_string.py#L49" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", - "description": "

Display an image or list of images.

\n", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "\"auto\", \"always\", \"never\", or bool", - "is_optional": false, - "description": "

If "auto", set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf "always" or True, set the image's width to the column width.\nIf "never" or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "\"RGB\" or \"BGR\"", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to "RGB", meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to "BGR", instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "\"JPEG\", \"PNG\", or \"auto\"", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to "auto" which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/image.py#L88" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "

Display an informational message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/alert.py#L103" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", - "description": "

Display object or string as a pretty-printed JSON string.

\n", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/markdown.py#L196" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L230" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/map.py#L76" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown("This text is :red[colored red], and this is **:blue[colored]** and bold.")\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "

Display string formatted as Markdown.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/markdown.py#L31" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "\"normal\", \"inverse\", or \"off\"", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/metric.py#L46" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", - "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "\"streamlit\", \"private\", \"secret\", or \"public\"", - "is_optional": false, - "description": "

Use "streamlit" to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "

Display a progress bar.

\n", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/progress.py#L66" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", - "description": "

Display a matplotlib.pyplot figure.

\n", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. Defaults to True.

\n", - "default": "s" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", - "description": "

Display a radio button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", - "description": "

Display a select widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/config.py#L92" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nimport streamlit as st\n\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used on an app page, and must only\nbe set once per page.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\", \"expanded\", or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int, float, timedelta, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/slider.py#L171" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "

Draw celebratory snowfall.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nimport time\nimport streamlit as st\n\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "

Temporarily displays a message while executing a block of code.

\n", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nimport streamlit as st\n\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in subheader formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the subheader.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/heading.py#L93" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "

Display a success message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/alert.py#L136" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L192" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/layouts.py#L205" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "

Write fixed-width and preformatted text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the text.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "

Display a multi-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/text_widgets.py#L274" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", - "description": "

Display a single-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"default\" or \"password\"", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/text_widgets.py#L71" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", - "description": "

Display a time input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "step", - "type_name": "int or timedelta", - "is_optional": false, - "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", - "default": "900" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/time_widgets.py#L213" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the title.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/heading.py#L146" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "

Display a chart using the Vega-Lite library.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L545" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "

Display a video player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/media.py#L116" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "

Display warning message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/alert.py#L71" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/write.py#L49" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "

Clear all in-memory and on-disk data caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/runtime/caching/cache_data_api.py#L549" - }, - "streamlit.cache_data.clear": { - "name": "cache_data.clear", - "signature": "st.cache_data.clear()", - "description": "

Clear all in-memory and on-disk data caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/runtime/caching/cache_data_api.py#L549" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "

Clear all cache_resource caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/runtime/caching/cache_resource_api.py#L406" - }, - "streamlit.cache_resource.clear": { - "name": "cache_resource.clear", - "signature": "st.cache_resource.clear()", - "description": "

Clear all cache_resource caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/runtime/caching/cache_resource_api.py#L406" - }, - "streamlit.connections.ExperimentalBaseConnection": { - "name": "ExperimentalBaseConnection", - "signature": "st.connections.ExperimentalBaseConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/base_connection.py#L137" - } - ], - "properties": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/base_connection.py#L25", - "description": "

The abstract base class that all Streamlit Connections must inherit from.

\n

This base class provides connection authors with a standardized way to hook into the\nst.experimental_connection() factory function: connection authors are required to\nprovide an implementation for the abstract method _connect in their subclasses.

\n

Additionally, it also provides a few methods/properties designed to make\nimplementation of connections more convenient. See the docstrings for each of the\nmethods of this class for more information

\n
\n

Note

\n

While providing an implementation of _connect is technically all that's\nrequired to define a valid connection, connections should also provide the user\nwith context-specific ways of interacting with the underlying connection object.\nFor example, the first-party SQLConnection provides a query() method for\nreads and a session property for more complex operations.

\n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SQLConnection": { - "name": "SQLConnection", - "signature": "st.connections.SQLConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "query", - "signature": "st.connections.query.query(sql, *, ttl=None, index_col=None, chunksize=None, params=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners where owner = :owner", ttl=3600, params={"owner":"barbara"})\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only query.

", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "index_col", - "type_name": "str, list of str, or None", - "is_optional": false, - "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", - "default": "None." - }, - { - "name": "chunksize", - "type_name": "int or None", - "is_optional": false, - "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", - "default": "None." - }, - { - "name": "params", - "type_name": "list, tuple, dict or None", - "is_optional": false, - "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", - "default": "None." - }, - { - "name": "**kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

Additional keyword arguments are passed to pd.read_sql.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/sql_connection.py#L121" - }, - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/base_connection.py#L137" - } - ], - "properties": [ - { - "name": "session", - "signature": "st.connections.session.session", - "example": "
\n
\nimport streamlit as st\nconn = st.experimental_connection("sql")\nn = st.slider("Pick a number")\nif st.button("Add the number!"):\n    with conn.session as session:\n        session.execute("INSERT INTO numbers (val) VALUES (:n);", {"n": n})\n        session.commit()\n
\n
\n", - "description": "

Return a SQLAlchemy Session.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/sql_connection.py#L226" - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/sql_connection.py#L45", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

A connection to a SQL database using a SQLAlchemy Engine. Initialize using st.experimental_connection("<name>", type="sql").

\n

SQLConnection provides the query() convenience method, which can be used to\nrun simple read-only queries with both caching and simple error handling/retries.\nMore complex DB interactions can be performed by using the .session property\nto receive a regular SQLAlchemy Session.

\n

SQLConnections should always be created using st.experimental_connection(),\nnot initialized directly. Connection parameters for a SQLConnection can be\nspecified using either st.secrets or **kwargs. Some frequently used\nparameters include:

\n
    \n
  • url or arguments for sqlalchemy.engine.URL.create().\nMost commonly it includes a dialect, host, database, username and password.
    • \n
  • create_engine_kwargs can be passed via st.secrets, such as for\nsnowflake-sqlalchemy\nor Google BigQuery.\nThese can also be passed directly as **kwargs to experimental_connection().
    • \n
  • autocommit=True to run with isolation level AUTOCOMMIT. Default is False.
    • \n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SnowparkConnection": { - "name": "SnowparkConnection", - "signature": "st.connections.SnowparkConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "query", - "signature": "st.connections.query.query(sql, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only SQL query.

", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/snowpark_connection.py#L123" - }, - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/base_connection.py#L137" - }, - { - "name": "safe_session", - "signature": "st.connections.safe_session.safe_session()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\nwith conn.safe_session() as session:\n    df = session.table("mytable").limit(10).to_pandas()\n\nst.dataframe(df)\n
\n
\n", - "description": "

Grab the underlying Snowpark session in a thread-safe manner.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/snowpark_connection.py#L207" - } - ], - "properties": [ - { - "name": "session", - "signature": "st.connections.session.session", - "example": "
\n
\nimport streamlit as st\n\nsession = st.experimental_connection("snowpark").session\ndf = session.table("mytable").limit(10).to_pandas()\nst.dataframe(df)\n
\n
\n", - "description": "

Access the underlying Snowpark session.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/snowpark_connection.py#L184" - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/snowpark_connection.py#L70", - "description": "

A connection to Snowpark using snowflake.snowpark.session.Session. Initialize using

\n

st.experimental_connection("<name>", type="snowpark").

\n

In addition to accessing the Snowpark Session, SnowparkConnection supports direct SQL querying using\nquery("...") and thread safe access using with conn.safe_session():. See methods\nbelow for more information. SnowparkConnections should always be created using\nst.experimental_connection(), not initialized directly.

\n
\n

Note

\n

We don't expect this iteration of SnowparkConnection to be able to scale\nwell in apps with many concurrent users due to the lock contention that will occur\nover the single underlying Session object under high load.

\n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SQLConnection.query": { - "name": "query", - "signature": "SQLConnection.query(sql, *, ttl=None, index_col=None, chunksize=None, params=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners where owner = :owner", ttl=3600, params={"owner":"barbara"})\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only query.

\n

This method implements both query result caching (with caching behavior\nidentical to that of using @st.cache_data) as well as simple error handling/retries.

\n
\n

Note

\n

Queries that are run without a specified ttl are cached indefinitely.

\n
\n

Aside from the ttl kwarg, all kwargs passed to this function are passed down\nto pd.read_sql\nand have the behavior described in the pandas documentation.

\n", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "index_col", - "type_name": "str, list of str, or None", - "is_optional": false, - "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", - "default": "None." - }, - { - "name": "chunksize", - "type_name": "int or None", - "is_optional": false, - "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", - "default": "None." - }, - { - "name": "params", - "type_name": "list, tuple, dict or None", - "is_optional": false, - "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", - "default": "None." - }, - { - "name": "**kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

Additional keyword arguments are passed to pd.read_sql.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/sql_connection.py#L121" - }, - "streamlit.connections.SQLConnection.reset": { - "name": "reset", - "signature": "SQLConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.connections.SQLConnection.session": { - "name": "session", - "signature": "SQLConnection.session", - "example": "
\n
\nimport streamlit as st\nconn = st.experimental_connection("sql")\nn = st.slider("Pick a number")\nif st.button("Add the number!"):\n    with conn.session as session:\n        session.execute("INSERT INTO numbers (val) VALUES (:n);", {"n": n})\n        session.commit()\n
\n
\n", - "description": "

Return a SQLAlchemy Session.

\n

Users of this connection should use the contextmanager pattern for writes,\ntransactions, and anything more complex than simple read queries.

\n

See the usage example below, which assumes we have a table numbers with a\nsingle integer column val. The SQLAlchemy docs also contain\nmuch more information on the usage of sessions.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/sql_connection.py#L226" - }, - "streamlit.connections.SnowparkConnection.query": { - "name": "query", - "signature": "SnowparkConnection.query(sql, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only SQL query.

\n

This method implements both query result caching (with caching behavior\nidentical to that of using @st.cache_data) as well as simple error handling/retries.

\n
\n

Note

\n

Queries that are run without a specified ttl are cached indefinitely.

\n
\n", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/snowpark_connection.py#L123" - }, - "streamlit.connections.SnowparkConnection.reset": { - "name": "reset", - "signature": "SnowparkConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.connections.SnowparkConnection.safe_session": { - "name": "safe_session", - "signature": "SnowparkConnection.safe_session()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\nwith conn.safe_session() as session:\n    df = session.table("mytable").limit(10).to_pandas()\n\nst.dataframe(df)\n
\n
\n", - "description": "

Grab the underlying Snowpark session in a thread-safe manner.

\n

As operations on a Snowpark session are not thread safe, we need to take care\nwhen using a session in the context of a Streamlit app where each script run\noccurs in its own thread. Using the contextmanager pattern to do this ensures\nthat access on this connection's underlying Session is done in a thread-safe\nmanner.

\n

Information on how to use Snowpark sessions can be found in the Snowpark documentation.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/snowpark_connection.py#L207" - }, - "streamlit.connections.SnowparkConnection.session": { - "name": "session", - "signature": "SnowparkConnection.session", - "example": "
\n
\nimport streamlit as st\n\nsession = st.experimental_connection("snowpark").session\ndf = session.table("mytable").limit(10).to_pandas()\nst.dataframe(df)\n
\n
\n", - "description": "

Access the underlying Snowpark session.

\n
\n

Note

\n

Snowpark sessions are not thread safe. Users of this method are\nresponsible for ensuring that access to the session returned by this method is\ndone in a thread-safe manner. For most users, we recommend using the thread-safe\nsafe_session() method and a with block.

\n
\n

Information on how to use Snowpark sessions can be found in the Snowpark documentation.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/snowpark_connection.py#L184" - }, - "streamlit.connections.ExperimentalBaseConnection.reset": { - "name": "reset", - "signature": "ExperimentalBaseConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.column_config.BarChartColumn": { - "name": "BarChartColumn", - "signature": "st.column_config.BarChartColumn(label=None, *, width=None, help=None, y_min=None, y_max=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.BarChartColumn(\n            "Sales (last 6 months)",\n            help="The sales volume in the last 6 months",\n            y_min=0,\n            y_max=100,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a bar chart column in st.dataframe or st.data_editor.

\n

Cells need to contain a list of numbers. Chart columns are not editable\nat the moment. This command needs to be used in the column_config parameter\nof st.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "y_min", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value on the y-axis for all cells in the column.\nIf None (default), every cell will use the minimum of its data.

\n", - "default": null - }, - { - "name": "y_max", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum value on the y-axis for all cells in the column. If None (default),\nevery cell will use the maximum of its data.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L745" - }, - "streamlit.column_config.CheckboxColumn": { - "name": "CheckboxColumn", - "signature": "st.column_config.CheckboxColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n        "favorite": [True, False, False, True],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "favorite": st.column_config.CheckboxColumn(\n            "Your favorite?",\n            help="Select your **favorite** widgets",\n            default=False,\n        )\n    },\n    disabled=["widgets"],\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a checkbox column in st.dataframe or st.data_editor.

\n

This is the default column type for boolean values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "bool or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L565" - }, - "streamlit.column_config.Column": { - "name": "Column", - "signature": "st.column_config.Column(label=None, *, width=None, help=None, disabled=None, required=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "widgets": st.column_config.Column(\n            "Streamlit Widgets",\n            help="Streamlit **widget** commands \ud83c\udf88",\n            width="medium",\n            required=True,\n        )\n    },\n    hide_index=True,\n    num_rows="dynamic",\n)\n
\n\n \n
\n", - "description": "

Configure a generic column in st.dataframe or st.data_editor.

\n

The type of the column will be automatically inferred from the data type.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor.

\n

To change the type of the column and enable type-specific configuration options,\nuse one of the column types in the st.column_config namespace,\ne.g. st.column_config.NumberColumn.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L187" - }, - "streamlit.column_config.DateColumn": { - "name": "DateColumn", - "signature": "st.column_config.DateColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", - "examples": "
\n
\nfrom datetime import date\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "birthday": [\n            date(1980, 1, 1),\n            date(1990, 5, 3),\n            date(1974, 5, 19),\n            date(2001, 8, 17),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "birthday": st.column_config.DateColumn(\n            "Birthday",\n            min_value=date(1900, 1, 1),\n            max_value=date(2005, 1, 1),\n            format="DD.MM.YYYY",\n            step=1,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a date column in st.dataframe or st.data_editor.

\n

This is the default column type for date values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor. When used\nwith st.data_editor, editing will be enabled with a date picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "datetime.date or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A momentJS format string controlling how times are displayed. See\nmomentJS docs for available\nformats. If None (default), uses YYYY-MM-DD.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "datetime.date or None", - "is_optional": false, - "description": "

The minimum date that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "datetime.date or None", - "is_optional": false, - "description": "

The maximum date that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int or None", - "is_optional": false, - "description": "

The stepping interval in days. If None (default), the step will be 1 day.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L1277" - }, - "streamlit.column_config.DatetimeColumn": { - "name": "DatetimeColumn", - "signature": "st.column_config.DatetimeColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None, timezone=None)", - "examples": "
\n
\nfrom datetime import datetime\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "appointment": [\n            datetime(2024, 2, 5, 12, 30),\n            datetime(2023, 11, 10, 18, 0),\n            datetime(2024, 3, 11, 20, 10),\n            datetime(2023, 9, 12, 3, 0),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "appointment": st.column_config.DatetimeColumn(\n            "Appointment",\n            min_value=datetime(2023, 6, 1),\n            max_value=datetime(2025, 1, 1),\n            format="D MMM YYYY, h:mm a",\n            step=60,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a datetime column in st.dataframe or st.data_editor.

\n

This is the default column type for datetime values. This command needs to be\nused in the column_config parameter of st.dataframe or\nst.data_editor. When used with st.data_editor, editing will be enabled\nwith a datetime picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "datetime.datetime or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A momentJS format string controlling how datetimes are displayed. See\nmomentJS docs for available\nformats. If None (default), uses YYYY-MM-DD HH:mm:ss.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "datetime.datetime or None", - "is_optional": false, - "description": "

The minimum datetime that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "datetime.datetime or None", - "is_optional": false, - "description": "

The maximum datetime that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int, float, datetime.timedelta, or None", - "is_optional": false, - "description": "

The stepping interval in seconds. If None (default), the step will be 1 second.

\n", - "default": null - }, - { - "name": "timezone", - "type_name": "str or None", - "is_optional": false, - "description": "

The timezone of this column. If None (default),\nthe timezone is inferred from the underlying data.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L1042" - }, - "streamlit.column_config.ImageColumn": { - "name": "ImageColumn", - "signature": "st.column_config.ImageColumn(label=None, *, width=None, help=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "apps": [\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/5435b8cb-6c6c-490b-9608-799b543655d3/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/ef9a7627-13f2-47e5-8f65-3f69bb38a5c2/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/31b99099-8eae-4ff8-aa89-042895ed3843/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/6a399b09-241e-4ae7-a31f-7640dc1d181e/Home_Page.png",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "apps": st.column_config.ImageColumn(\n            "Preview Image", help="Streamlit app preview screenshots"\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure an image column in st.dataframe or st.data_editor.

\n

The cell values need to be one of:

\n
    \n
  • A URL to fetch the image from. This can also be a relative URL of an image\ndeployed via static file serving.\nNote that you can NOT use an arbitrary local image if it is not available through\na public URL.
    • \n
  • A data URL containing an SVG XML like data:image/svg+xml;utf8,<svg xmlns=...</svg>.
    • \n
  • A data URL containing a Base64 encoded image like data:image/png;base64,iVBO....
    • \n
\n

Image columns are not editable at the moment. This command needs to be used in the\ncolumn_config parameter of st.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L906" - }, - "streamlit.column_config.LineChartColumn": { - "name": "LineChartColumn", - "signature": "st.column_config.LineChartColumn(label=None, *, width=None, help=None, y_min=None, y_max=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.LineChartColumn(\n            "Sales (last 6 months)",\n            width="medium",\n            help="The sales volume in the last 6 months",\n            y_min=0,\n            y_max=100,\n         ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a line chart column in st.dataframe or st.data_editor.

\n

Cells need to contain a list of numbers. Chart columns are not editable\nat the moment. This command needs to be used in the column_config parameter\nof st.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "y_min", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value on the y-axis for all cells in the column.\nIf None (default), every cell will use the minimum of its data.

\n", - "default": null - }, - { - "name": "y_max", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum value on the y-axis for all cells in the column. If None (default),\nevery cell will use the maximum of its data.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L825" - }, - "streamlit.column_config.LinkColumn": { - "name": "LinkColumn", - "signature": "st.column_config.LinkColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, max_chars=None, validate=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "apps": [\n            "https://roadmap.streamlit.app",\n            "https://extras.streamlit.app",\n            "https://issues.streamlit.app",\n            "https://30days.streamlit.app",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "apps": st.column_config.LinkColumn(\n            "Trending apps",\n            help="The top trending Streamlit apps",\n            validate="^https://[a-z]+\\.streamlit\\.app$",\n            max_chars=100,\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a link column in st.dataframe or st.data_editor.

\n

The cell values need to be string and will be shown as clickable links.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor. When used with st.data_editor, editing will be enabled\nwith a text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "str or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of characters that can be entered. If None (default),\nthere will be no maximum.

\n", - "default": null - }, - { - "name": "validate", - "type_name": "str or None", - "is_optional": false, - "description": "

A regular expression (JS flavor, e.g. "^https://.+$") that edited values are validated against.\nIf the input is invalid, it will not be submitted.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L466" - }, - "streamlit.column_config.ListColumn": { - "name": "ListColumn", - "signature": "st.column_config.ListColumn(label=None, *, width=None, help=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.ListColumn(\n            "Sales (last 6 months)",\n            help="The sales volume in the last 6 months",\n            width="medium",\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a list column in st.dataframe or st.data_editor.

\n

This is the default column type for list-like values. List columns are not editable\nat the moment. This command needs to be used in the column_config parameter of\nst.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L977" - }, - "streamlit.column_config.NumberColumn": { - "name": "NumberColumn", - "signature": "st.column_config.NumberColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "price": [20, 950, 250, 500],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "price": st.column_config.NumberColumn(\n            "Price (in USD)",\n            help="The price of the product in USD",\n            min_value=0,\n            max_value=1000,\n            step=1,\n            format="$%d",\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a number column in st.dataframe or st.data_editor.

\n

This is the default column type for integer and float values. This command needs to\nbe used in the column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a numeric input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how numbers are displayed.\nThis does not impact the return value. Valid formatters: %d %e %f %g %i %u.\nYou can also add prefixes and suffixes, e.g. "$ %.2f" to show a dollar prefix.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum value that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The stepping interval. Specifies the precision of numbers that can be entered.\nIf None (default), uses 1 for integers and unrestricted precision for floats.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L262" - }, - "streamlit.column_config.ProgressColumn": { - "name": "ProgressColumn", - "signature": "st.column_config.ProgressColumn(label=None, *, width=None, help=None, format=None, min_value=None, max_value=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [200, 550, 1000, 80],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.ProgressColumn(\n            "Sales volume",\n            help="The sales volume in USD",\n            format="$%f",\n            min_value=0,\n            max_value=1000,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a progress column in st.dataframe or st.data_editor.

\n

Cells need to contain a number. Progress columns are not editable at the moment.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how numbers are displayed.\nValid formatters: %d %e %f %g %i %u. You can also add prefixes and suffixes,\ne.g. "$ %.2f" to show a dollar prefix.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value of the progress bar.\nIf None (default), will be 0.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value of the progress bar. If None (default), will be 100 for\ninteger values and 1 for float values.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L1390" - }, - "streamlit.column_config.SelectboxColumn": { - "name": "SelectboxColumn", - "signature": "st.column_config.SelectboxColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, options=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "category": [\n            "\ud83d\udcca Data Exploration",\n            "\ud83d\udcc8 Data Visualization",\n            "\ud83e\udd16 LLM",\n            "\ud83d\udcca Data Exploration",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "category": st.column_config.SelectboxColumn(\n            "App Category",\n            help="The category of the app",\n            width="medium",\n            options=[\n                "\ud83d\udcca Data Exploration",\n                "\ud83d\udcc8 Data Visualization",\n                "\ud83e\udd16 LLM",\n            ],\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a selectbox column in st.dataframe or st.data_editor.

\n

This is the default column type for Pandas categorical values. This command needs to\nbe used in the column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a selectbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "str, int, float, bool, or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "options", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

The options that can be selected during editing. If None (default), this will be\ninferred from the underlying dataframe column if its dtype is \u201ccategory\u201d\n(see Pandas docs on categorical data).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L647" - }, - "streamlit.column_config.TextColumn": { - "name": "TextColumn", - "signature": "st.column_config.TextColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, max_chars=None, validate=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "widgets": st.column_config.TextColumn(\n            "Widgets",\n            help="Streamlit **widget** commands \ud83c\udf88",\n            default="st.",\n            max_chars=50,\n            validate="^st\\.[a-z_]+$",\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a text column in st.dataframe or st.data_editor.

\n

This is the default column type for string values. This command needs to be used in the\ncolumn_config parameter of st.dataframe or st.data_editor. When used with\nst.data_editor, editing will be enabled with a text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "str or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of characters that can be entered. If None (default),\nthere will be no maximum.

\n", - "default": null - }, - { - "name": "validate", - "type_name": "str or None", - "is_optional": false, - "description": "

A regular expression (JS flavor, e.g. "^[a-z]+$") that edited values are validated against.\nIf the input is invalid, it will not be submitted.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L372" - }, - "streamlit.column_config.TimeColumn": { - "name": "TimeColumn", - "signature": "st.column_config.TimeColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", - "examples": "
\n
\nfrom datetime import time\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "appointment": [\n            time(12, 30),\n            time(18, 0),\n            time(9, 10),\n            time(16, 25),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "appointment": st.column_config.TimeColumn(\n            "Appointment",\n            min_value=time(8, 0, 0),\n            max_value=time(19, 0, 0),\n            format="hh:mm a",\n            step=60,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a time column in st.dataframe or st.data_editor.

\n

This is the default column type for time values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor. When\nused with st.data_editor, editing will be enabled with a time picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "datetime.time or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A momentJS format string controlling how times are displayed. See\nmomentJS docs for available\nformats. If None (default), uses HH:mm:ss.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "datetime.time or None", - "is_optional": false, - "description": "

The minimum time that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "datetime.time or None", - "is_optional": false, - "description": "

The maximum time that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int, float, datetime.timedelta, or None", - "is_optional": false, - "description": "

The stepping interval in seconds. If None (default), the step will be 1 second.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/lib/column_types.py#L1163" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "

Create and register a custom component.

\n", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "

Display an HTML string in an iframe.

\n", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "

Load a remote URL in an iframe.

\n", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(data=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "

Concatenate a dataframe to the bottom of the current one.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L620" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", - "description": "

Display a chart using the Altair library.

\n", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L492" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L317" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", - "description": "

Display an audio player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/media.py#L42" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "

Draw celebratory balloons.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L404" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", - "description": "

Display a button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "

Display a widget that returns pictures from the user's webcam.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the caption.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/markdown.py#L132" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", - "description": "

Display a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/checkbox.py#L52" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(body, language=\"python\", line_numbers=False)", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - }, - { - "name": "line_numbers", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/code.py#L27" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", - "description": "

Display a color picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or iterable of numbers", - "is_optional": false, - "description": "

Controls the number and width of columns to insert. Can be one of:

\n
    \n
  • An integer that specifies the number of columns. All columns have equal\nwidth in this case.
    • \n
  • An iterable of numbers (int or float) that specify the relative width of\neach column. E.g. [0.7, 0.3] creates two columns where the first\none takes up 70% of the available with and the second one takes up 30%.\nOr [1, 2, 3] creates three columns where the second one is two times\nthe width of the first one, and the third one is three times that width.
    • \n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "\"small\", \"medium\", or \"large\"", - "is_optional": false, - "description": "

The size of the gap between the columns. Defaults to "small". This\nargument can only be supplied by keyword.

\n", - "default": "s" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/layouts.py#L77" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/layouts.py#L29" - }, - "DeltaGenerator.data_editor": { - "name": "data_editor", - "signature": "element.data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n

Mixing data types within a column can make the column uneditable.\nAdditionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.

\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/data_editor.py#L527" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(data=None, width=None, height=None, *, use_container_width=False, hide_index=None, column_order=None, column_config=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n

Or you can customize the dataframe via column_config, hide_index, or column_order:

\n
\nimport random\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    {\n        "name": ["Roadmap", "Extras", "Issues"],\n        "url": ["https://roadmap.streamlit.app", "https://extras.streamlit.app", "https://issues.streamlit.app"],\n        "stars": [random.randint(0, 1000) for _ in range(3)],\n        "views_history": [[random.randint(0, 5000) for _ in range(30)] for _ in range(3)],\n    }\n)\nst.dataframe(\n    df,\n    column_config={\n        "name": "App name",\n        "stars": st.column_config.NumberColumn(\n            "Github Stars",\n            help="Number of stars on GitHub",\n            format="%d \u2b50",\n        ),\n        "url": st.column_config.LinkColumn("App URL"),\n        "views_history": st.column_config.LineChartColumn(\n            "Views (past 30 days)", y_min=0, y_max=5000\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Display a dataframe as an interactive table.

\n

This command works with dataframes from Pandas, PyArrow, Snowpark, and PySpark.\nIt can also display several other types that can be converted to dataframes,\ne.g. numpy arrays, lists, sets and dictionaries.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat. This needs to be a dictionary where each key is a column name and\nthe value is one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L43" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n
\n", - "description": "

Display a date input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/time_widgets.py#L398" - }, - "DeltaGenerator.dg": { - "name": "dg", - "signature": "element.dg", - "description": "

Get our DeltaGenerator.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/alert.py#L168" - }, - "DeltaGenerator.divider": { - "name": "divider", - "signature": "element.divider()", - "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", - "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/markdown.py#L244" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/button.py#L169" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "

Display error message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "

Display an exception.

\n", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/layouts.py#L317" - }, - "DeltaGenerator.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "element.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n

Mixing data types within a column can make the column uneditable.\nAdditionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.

\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/data_editor.py#L527" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/file_uploader.py#L214" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/form.py#L118" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/form.py#L211" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", - "description": "

Display a graph using the dagre-d3 library.

\n", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in header formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the header.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/heading.py#L40" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(obj=)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", - "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", - "args": [ - { - "name": "obj", - "type_name": "any", - "is_optional": false, - "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/doc_string.py#L49" - }, - "DeltaGenerator.id": { - "name": "id", - "signature": "element.id" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", - "description": "

Display an image or list of images.

\n", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "\"auto\", \"always\", \"never\", or bool", - "is_optional": false, - "description": "

If "auto", set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf "always" or True, set the image's width to the column width.\nIf "never" or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "\"RGB\" or \"BGR\"", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to "RGB", meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to "BGR", instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "\"JPEG\", \"PNG\", or \"auto\"", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to "auto" which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/image.py#L88" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "

Display an informational message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/alert.py#L103" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", - "description": "

Display object or string as a pretty-printed JSON string.

\n", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/markdown.py#L196" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L230" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/map.py#L76" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown("This text is :red[colored red], and this is **:blue[colored]** and bold.")\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "

Display string formatted as Markdown.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/markdown.py#L31" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "\"normal\", \"inverse\", or \"off\"", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/metric.py#L46" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", - "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "\"streamlit\", \"private\", \"secret\", or \"public\"", - "is_optional": false, - "description": "

Use "streamlit" to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "

Display a progress bar.

\n", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/progress.py#L66" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", - "description": "

Display a matplotlib.pyplot figure.

\n", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. Defaults to True.

\n", - "default": "s" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", - "description": "

Display a radio button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", - "description": "

Display a select widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int, float, timedelta, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/slider.py#L171" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "

Draw celebratory snowfall.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in subheader formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the subheader.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/heading.py#L93" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "

Display a success message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/alert.py#L136" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L192" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/layouts.py#L205" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "

Write fixed-width and preformatted text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the text.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "

Display a multi-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/text_widgets.py#L274" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", - "description": "

Display a single-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"default\" or \"password\"", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/text_widgets.py#L71" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", - "description": "

Display a time input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "step", - "type_name": "int or timedelta", - "is_optional": false, - "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", - "default": "900" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/time_widgets.py#L213" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the title.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/heading.py#L146" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "

Display a chart using the Vega-Lite library.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/dataframe_selector.py#L545" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "

Display a video player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/media.py#L116" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "

Display warning message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/alert.py#L71" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.23.0/lib/streamlit/elements/write.py#L49" - } - }, - "1.24.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", - "description": "

Display a chart using the Altair library.

\n", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L492" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L317" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", - "description": "

Display an audio player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/media.py#L42" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "

Draw celebratory balloons.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L404" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", - "description": "

Display a button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/runtime/legacy_caching/caching.py#L486" - }, - "streamlit.cache_data": { - "name": "cache_data", - "signature": "st.cache_data(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets, hash_funcs=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. datetime.datetime) to a hash\nfunction (lambda dt: dt.isoformat()) like this:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={datetime.datetime: lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "datetime.datetime") to the hash function instead:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={"datetime.datetime": lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "\"disk\", boolean, or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/runtime/caching/cache_data_api.py#L384" - }, - "streamlit.cache_resource": { - "name": "cache_resource", - "signature": "st.cache_resource(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets, hash_funcs=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. Person) to a hash\nfunction (str) like this:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={Person: str})\ndef get_person_name(person: Person):\n    return person.name\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "__main__.Person") to the hash function instead:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={"__main__.Person": str})\ndef get_person_name(person: Person):\n    return person.name\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/runtime/caching/cache_resource_api.py#L264" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "

Display a widget that returns pictures from the user's webcam.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the caption.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/markdown.py#L132" - }, - "streamlit.chat_input": { - "name": "chat_input", - "signature": "st.chat_input(placeholder=\"Your message\", *, key=None, max_chars=None, disabled=False, on_submit=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\n\nprompt = st.chat_input("Say something")\nif prompt:\n    st.write(f"User has sent the following prompt: {prompt}")\n
\n\n \n
\n", - "description": "

Display a chat input widget.

\n
\n

Warning

\n

Chat input can only be used once per app page and inside the main area of the app.\nIt cannot be used in the sidebar, columns, expanders, forms or tabs.\nWe plan to support this in the future.

\n
\n", - "args": [ - { - "name": "placeholder", - "type_name": "str", - "is_optional": false, - "description": "

A placeholder text shown when the chat input is empty. Defaults to\n"Your message". For accessibility reasons, you should not use an\nempty string.

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget based on\nits content. Multiple widgets of the same type may not share the same key.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of characters that can be entered. If None\n(default), there will be no maximum.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

Whether the chat input should be disabled. Defaults to False.

\n", - "default": "False." - }, - { - "name": "on_submit", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when the chat input's value is submitted.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "str or None", - "is_generator": false, - "description": "

The current (non-empty) value of the text input widget on the last\nrun of the app, None otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/chat.py#L208" - }, - "streamlit.chat_message": { - "name": "chat_message", - "signature": "st.chat_message(name, *, avatar=None)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\nimport numpy as np\n\nwith st.chat_message("user"):\n    st.write("Hello \ud83d\udc4b")\n    st.line_chart(np.random.randn(30, 3))\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\nmessage = st.chat_message("assistant")\nmessage.write("Hello human")\nmessage.bar_chart(np.random.randn(30, 3))\n
\n\n \n
\n", - "description": "

Insert a chat message container.

\n

To add elements to the returned container, you can use with notation\n(preferred) or just call methods directly on the returned object. See the\nexamples below.

\n", - "args": [ - { - "name": "name", - "type_name": "\"user\", \"assistant\", or str", - "is_optional": false, - "description": "

The name of the message author. Can be \u201cuser\u201d or \u201cassistant\u201d to\nenable preset styling and avatars.

\n

Currently, the name is not shown in the UI but is only set as an\naccessibility label. For accessibility reasons, you should not use\nan empty string.

\n", - "default": null - }, - { - "name": "avatar", - "type_name": "str, numpy.ndarray, or BytesIO", - "is_optional": false, - "description": "

The avatar shown next to the message. Can be one of:

\n
    \n
  • A single emoji, e.g. "\ud83e\uddd1\u200d\ud83d\udcbb", "\ud83e\udd16", "\ud83e\udd96". Shortcodes are not supported.
    • \n
  • \n
    An image using one of the formats allowed for st.image: path of a local
    \n
    image file; URL to fetch the image from; array of shape (w,h) or (w,h,1)\nfor a monochrome image, (w,h,3) for a color image, or (w,h,4) for an RGBA image.
    \n
    \n
    • \n
\n

If None (default), uses default icons if name is "user" or\n"assistant", or the first letter of the name value.

\n", - "default": "icons" - } - ], - "returns": [ - { - "type_name": "Container", - "is_generator": false, - "description": "

A single container that can hold multiple elements.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/chat.py#L112" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", - "description": "

Display a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/checkbox.py#L52" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\", line_numbers=False)", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - }, - { - "name": "line_numbers", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/code.py#L27" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", - "description": "

Display a color picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or iterable of numbers", - "is_optional": false, - "description": "

Controls the number and width of columns to insert. Can be one of:

\n
    \n
  • An integer that specifies the number of columns. All columns have equal\nwidth in this case.
    • \n
  • An iterable of numbers (int or float) that specify the relative width of\neach column. E.g. [0.7, 0.3] creates two columns where the first\none takes up 70% of the available with and the second one takes up 30%.\nOr [1, 2, 3] creates three columns where the second one is two times\nthe width of the first one, and the third one is three times that width.
    • \n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "\"small\", \"medium\", or \"large\"", - "is_optional": false, - "description": "

The size of the gap between the columns. Defaults to "small". This\nargument can only be supplied by keyword.

\n", - "default": "s" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/layouts.py#L75" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/layouts.py#L27" - }, - "streamlit.data_editor": { - "name": "data_editor", - "signature": "st.data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n

Mixing data types within a column can make the column uneditable.\nAdditionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.

\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/data_editor.py#L527" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False, hide_index=None, column_order=None, column_config=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n

Or you can customize the dataframe via column_config, hide_index, or column_order:

\n
\nimport random\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    {\n        "name": ["Roadmap", "Extras", "Issues"],\n        "url": ["https://roadmap.streamlit.app", "https://extras.streamlit.app", "https://issues.streamlit.app"],\n        "stars": [random.randint(0, 1000) for _ in range(3)],\n        "views_history": [[random.randint(0, 5000) for _ in range(30)] for _ in range(3)],\n    }\n)\nst.dataframe(\n    df,\n    column_config={\n        "name": "App name",\n        "stars": st.column_config.NumberColumn(\n            "Github Stars",\n            help="Number of stars on GitHub",\n            format="%d \u2b50",\n        ),\n        "url": st.column_config.LinkColumn("App URL"),\n        "views_history": st.column_config.LineChartColumn(\n            "Views (past 30 days)", y_min=0, y_max=5000\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Display a dataframe as an interactive table.

\n

This command works with dataframes from Pandas, PyArrow, Snowpark, and PySpark.\nIt can also display several other types that can be converted to dataframes,\ne.g. numpy arrays, lists, sets and dictionaries.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat. This needs to be a dictionary where each key is a column name and\nthe value is one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L43" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n
\n", - "description": "

Display a date input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/time_widgets.py#L398" - }, - "streamlit.divider": { - "name": "divider", - "signature": "st.divider()", - "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", - "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/markdown.py#L244" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/button.py#L169" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nimport streamlit as st\n\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "

Use in a with block to draw some code on the app, then execute it.

\n", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/echo.py#L27" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "

Display error message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/alert.py#L39" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "

Display an exception.

\n", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/layouts.py#L315" - }, - "streamlit.experimental_connection": { - "name": "experimental_connection", - "signature": "st.experimental_connection(name, type=None, max_entries=None, ttl=None, **kwargs)", - "examples": "
\n

The easiest way to create a first-party (SQL or Snowpark) connection is to use their\ndefault names and define corresponding sections in your secrets.toml file.

\n
\nimport streamlit as st\nconn = st.experimental_connection("sql") # Config section defined in [connections.sql] in secrets.toml.\n
\n

Creating a SQLConnection with a custom name requires you to explicitly specify the\ntype. If type is not passed as a kwarg, it must be set in the appropriate section of\nsecrets.toml.

\n
\nimport streamlit as st\nconn1 = st.experimental_connection("my_sql_connection", type="sql") # Config section defined in [connections.my_sql_connection].\nconn2 = st.experimental_connection("my_other_sql_connection") # type must be set in [connections.my_other_sql_connection].\n
\n

Passing the full module path to the connection class that you want to use can be\nuseful, especially when working with a custom connection:

\n
\nimport streamlit as st\nconn = st.experimental_connection("my_sql_connection", type="streamlit.connections.SQLConnection")\n
\n

Finally, you can pass the connection class to use directly to this function. Doing\nso allows static type checking tools such as mypy to infer the exact return\ntype of st.experimental_connection.

\n
\nimport streamlit as st\nfrom streamlit.connections import SQLConnection\nconn = st.experimental_connection("my_sql_connection", type=SQLConnection)\n
\n
\n", - "description": "

Create a new connection to a data store or API, or return an existing one.

\n

Config options, credentials, secrets, etc. for connections are taken from various\nsources:

\n
    \n
  • Any connection-specific configuration files.
    • \n
  • An app's secrets.toml files.
    • \n
  • The kwargs passed to this function.
    • \n
\n", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

The connection name used for secrets lookup in [connections.<name>].\nType will be inferred from passing "sql" or "snowpark".

\n", - "default": null - }, - { - "name": "type", - "type_name": "str, connection class, or None", - "is_optional": false, - "description": "

The type of connection to create. It can be a keyword ("sql" or "snowpark"),\na path to an importable class, or an imported class reference. All classes\nmust extend st.connections.ExperimentalBaseConnection and implement the\n_connect() method. If the type kwarg is None, a type field must be set\nin the connection's section in secrets.toml.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of connections to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None." - }, - { - "name": "ttl", - "type_name": "float, timedelta, or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Additional connection specific kwargs that are passed to the Connection's\n_connect() method. Learn more from the specific Connection's documentation.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "Connection object", - "is_generator": false, - "description": "

An initialized Connection object of the specified type.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/runtime/connection_factory.py#L170" - }, - "streamlit.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "st.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n

Mixing data types within a column can make the column uneditable.\nAdditionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.

\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/data_editor.py#L527" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nimport streamlit as st\n\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "

Return the query parameters that is currently showing in the browser's URL bar.

\n", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/commands/query_params.py#L29" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets, hash_funcs=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. datetime.datetime) to a hash\nfunction (lambda dt: dt.isoformat()) like this:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={datetime.datetime: lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "datetime.datetime") to the hash function instead:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={"datetime.datetime": lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "\"disk\", boolean, or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None." - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/runtime/caching/cache_data_api.py#L384" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/commands/execution_control.py#L46" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nimport streamlit as st\n\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "

Set the query parameters that are shown in the browser's URL bar.

\n
\n

Warning

\n

Query param embed cannot be set using this method.

\n
\n", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/commands/query_params.py#L65" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets, hash_funcs=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. Person) to a hash\nfunction (str) like this:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={Person: str})\ndef get_person_name(person: Person):\n    return person.name\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "__main__.Person") to the hash function instead:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={"__main__.Person": str})\ndef get_person_name(person: Person):\n    return person.name\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None." - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False." - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/runtime/caching/cache_resource_api.py#L264" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/file_uploader.py#L214" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/form.py#L118" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/form.py#L211" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/config.py#L131" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", - "description": "

Display a graph using the dagre-d3 library.

\n", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in header formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the header.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/heading.py#L40" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj=)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", - "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", - "args": [ - { - "name": "obj", - "type_name": "any", - "is_optional": false, - "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/doc_string.py#L48" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", - "description": "

Display an image or list of images.

\n", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "\"auto\", \"always\", \"never\", or bool", - "is_optional": false, - "description": "

If "auto", set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf "always" or True, set the image's width to the column width.\nIf "never" or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "\"RGB\" or \"BGR\"", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to "RGB", meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to "BGR", instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "\"JPEG\", \"PNG\", or \"auto\"", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to "auto" which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/image.py#L88" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "

Display an informational message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/alert.py#L103" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", - "description": "

Display object or string as a pretty-printed JSON string.

\n", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/markdown.py#L196" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L230" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/map.py#L76" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown("This text is :red[colored red], and this is **:blue[colored]** and bold.")\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "

Display string formatted as Markdown.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/markdown.py#L31" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "\"normal\", \"inverse\", or \"off\"", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/metric.py#L46" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", - "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "\"streamlit\", \"private\", \"secret\", or \"public\"", - "is_optional": false, - "description": "

Use "streamlit" to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "

Display a progress bar.

\n", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/progress.py#L66" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", - "description": "

Display a matplotlib.pyplot figure.

\n", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. Defaults to True.

\n", - "default": "s" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", - "description": "

Display a radio button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", - "description": "

Display a select widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/config.py#L92" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nimport streamlit as st\n\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used on an app page, and must only\nbe set once per page.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\", \"expanded\", or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int, float, timedelta, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/slider.py#L171" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "

Draw celebratory snowfall.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nimport time\nimport streamlit as st\n\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "

Temporarily displays a message while executing a block of code.

\n", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nimport streamlit as st\n\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in subheader formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the subheader.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/heading.py#L93" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "

Display a success message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/alert.py#L136" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L192" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/layouts.py#L203" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "

Write fixed-width and preformatted text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the text.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "

Display a multi-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/text_widgets.py#L274" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", - "description": "

Display a single-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"default\" or \"password\"", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/text_widgets.py#L71" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", - "description": "

Display a time input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "step", - "type_name": "int or timedelta", - "is_optional": false, - "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", - "default": "900" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/time_widgets.py#L213" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the title.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/heading.py#L146" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "

Display a chart using the Vega-Lite library.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L545" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "

Display a video player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/media.py#L116" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "

Display warning message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/alert.py#L71" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/write.py#L49" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "

Clear all in-memory and on-disk data caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/runtime/caching/cache_data_api.py#L587" - }, - "streamlit.cache_data.clear": { - "name": "cache_data.clear", - "signature": "st.cache_data.clear()", - "description": "

Clear all in-memory and on-disk data caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/runtime/caching/cache_data_api.py#L587" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "

Clear all cache_resource caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/runtime/caching/cache_resource_api.py#L449" - }, - "streamlit.cache_resource.clear": { - "name": "cache_resource.clear", - "signature": "st.cache_resource.clear()", - "description": "

Clear all cache_resource caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/runtime/caching/cache_resource_api.py#L449" - }, - "streamlit.connections.ExperimentalBaseConnection": { - "name": "ExperimentalBaseConnection", - "signature": "st.connections.ExperimentalBaseConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/base_connection.py#L137" - } - ], - "properties": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/base_connection.py#L25", - "description": "

The abstract base class that all Streamlit Connections must inherit from.

\n

This base class provides connection authors with a standardized way to hook into the\nst.experimental_connection() factory function: connection authors are required to\nprovide an implementation for the abstract method _connect in their subclasses.

\n

Additionally, it also provides a few methods/properties designed to make\nimplementation of connections more convenient. See the docstrings for each of the\nmethods of this class for more information

\n
\n

Note

\n

While providing an implementation of _connect is technically all that's\nrequired to define a valid connection, connections should also provide the user\nwith context-specific ways of interacting with the underlying connection object.\nFor example, the first-party SQLConnection provides a query() method for\nreads and a session property for more complex operations.

\n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SQLConnection": { - "name": "SQLConnection", - "signature": "st.connections.SQLConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "query", - "signature": "st.connections.query.query(sql, *, ttl=None, index_col=None, chunksize=None, params=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners where owner = :owner", ttl=3600, params={"owner":"barbara"})\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only query.

", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "index_col", - "type_name": "str, list of str, or None", - "is_optional": false, - "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", - "default": "None." - }, - { - "name": "chunksize", - "type_name": "int or None", - "is_optional": false, - "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", - "default": "None." - }, - { - "name": "params", - "type_name": "list, tuple, dict or None", - "is_optional": false, - "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", - "default": "None." - }, - { - "name": "**kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

Additional keyword arguments are passed to pd.read_sql.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/sql_connection.py#L121" - }, - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/base_connection.py#L137" - } - ], - "properties": [ - { - "name": "session", - "signature": "st.connections.session.session", - "example": "
\n
\nimport streamlit as st\nconn = st.experimental_connection("sql")\nn = st.slider("Pick a number")\nif st.button("Add the number!"):\n    with conn.session as session:\n        session.execute("INSERT INTO numbers (val) VALUES (:n);", {"n": n})\n        session.commit()\n
\n
\n", - "description": "

Return a SQLAlchemy Session.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/sql_connection.py#L226" - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/sql_connection.py#L45", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

A connection to a SQL database using a SQLAlchemy Engine. Initialize using st.experimental_connection("<name>", type="sql").

\n

SQLConnection provides the query() convenience method, which can be used to\nrun simple read-only queries with both caching and simple error handling/retries.\nMore complex DB interactions can be performed by using the .session property\nto receive a regular SQLAlchemy Session.

\n

SQLConnections should always be created using st.experimental_connection(),\nnot initialized directly. Connection parameters for a SQLConnection can be\nspecified using either st.secrets or **kwargs. Some frequently used\nparameters include:

\n
    \n
  • url or arguments for sqlalchemy.engine.URL.create().\nMost commonly it includes a dialect, host, database, username and password.
    • \n
  • create_engine_kwargs can be passed via st.secrets, such as for\nsnowflake-sqlalchemy\nor Google BigQuery.\nThese can also be passed directly as **kwargs to experimental_connection().
    • \n
  • autocommit=True to run with isolation level AUTOCOMMIT. Default is False.
    • \n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SnowparkConnection": { - "name": "SnowparkConnection", - "signature": "st.connections.SnowparkConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "query", - "signature": "st.connections.query.query(sql, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only SQL query.

", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/snowpark_connection.py#L123" - }, - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/base_connection.py#L137" - }, - { - "name": "safe_session", - "signature": "st.connections.safe_session.safe_session()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\nwith conn.safe_session() as session:\n    df = session.table("mytable").limit(10).to_pandas()\n\nst.dataframe(df)\n
\n
\n", - "description": "

Grab the underlying Snowpark session in a thread-safe manner.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/snowpark_connection.py#L207" - } - ], - "properties": [ - { - "name": "session", - "signature": "st.connections.session.session", - "example": "
\n
\nimport streamlit as st\n\nsession = st.experimental_connection("snowpark").session\ndf = session.table("mytable").limit(10).to_pandas()\nst.dataframe(df)\n
\n
\n", - "description": "

Access the underlying Snowpark session.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/snowpark_connection.py#L184" - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/snowpark_connection.py#L70", - "description": "

A connection to Snowpark using snowflake.snowpark.session.Session. Initialize using

\n

st.experimental_connection("<name>", type="snowpark").

\n

In addition to accessing the Snowpark Session, SnowparkConnection supports direct SQL querying using\nquery("...") and thread safe access using with conn.safe_session():. See methods\nbelow for more information. SnowparkConnections should always be created using\nst.experimental_connection(), not initialized directly.

\n
\n

Note

\n

We don't expect this iteration of SnowparkConnection to be able to scale\nwell in apps with many concurrent users due to the lock contention that will occur\nover the single underlying Session object under high load.

\n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SQLConnection.query": { - "name": "query", - "signature": "SQLConnection.query(sql, *, ttl=None, index_col=None, chunksize=None, params=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners where owner = :owner", ttl=3600, params={"owner":"barbara"})\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only query.

\n

This method implements both query result caching (with caching behavior\nidentical to that of using @st.cache_data) as well as simple error handling/retries.

\n
\n

Note

\n

Queries that are run without a specified ttl are cached indefinitely.

\n
\n

Aside from the ttl kwarg, all kwargs passed to this function are passed down\nto pd.read_sql\nand have the behavior described in the pandas documentation.

\n", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - }, - { - "name": "index_col", - "type_name": "str, list of str, or None", - "is_optional": false, - "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", - "default": "None." - }, - { - "name": "chunksize", - "type_name": "int or None", - "is_optional": false, - "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", - "default": "None." - }, - { - "name": "params", - "type_name": "list, tuple, dict or None", - "is_optional": false, - "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", - "default": "None." - }, - { - "name": "**kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

Additional keyword arguments are passed to pd.read_sql.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/sql_connection.py#L121" - }, - "streamlit.connections.SQLConnection.reset": { - "name": "reset", - "signature": "SQLConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.connections.SQLConnection.session": { - "name": "session", - "signature": "SQLConnection.session", - "example": "
\n
\nimport streamlit as st\nconn = st.experimental_connection("sql")\nn = st.slider("Pick a number")\nif st.button("Add the number!"):\n    with conn.session as session:\n        session.execute("INSERT INTO numbers (val) VALUES (:n);", {"n": n})\n        session.commit()\n
\n
\n", - "description": "

Return a SQLAlchemy Session.

\n

Users of this connection should use the contextmanager pattern for writes,\ntransactions, and anything more complex than simple read queries.

\n

See the usage example below, which assumes we have a table numbers with a\nsingle integer column val. The SQLAlchemy docs also contain\nmuch more information on the usage of sessions.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/sql_connection.py#L226" - }, - "streamlit.connections.SnowparkConnection.query": { - "name": "query", - "signature": "SnowparkConnection.query(sql, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only SQL query.

\n

This method implements both query result caching (with caching behavior\nidentical to that of using @st.cache_data) as well as simple error handling/retries.

\n
\n

Note

\n

Queries that are run without a specified ttl are cached indefinitely.

\n
\n", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None." - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/snowpark_connection.py#L123" - }, - "streamlit.connections.SnowparkConnection.reset": { - "name": "reset", - "signature": "SnowparkConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.connections.SnowparkConnection.safe_session": { - "name": "safe_session", - "signature": "SnowparkConnection.safe_session()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\nwith conn.safe_session() as session:\n    df = session.table("mytable").limit(10).to_pandas()\n\nst.dataframe(df)\n
\n
\n", - "description": "

Grab the underlying Snowpark session in a thread-safe manner.

\n

As operations on a Snowpark session are not thread safe, we need to take care\nwhen using a session in the context of a Streamlit app where each script run\noccurs in its own thread. Using the contextmanager pattern to do this ensures\nthat access on this connection's underlying Session is done in a thread-safe\nmanner.

\n

Information on how to use Snowpark sessions can be found in the Snowpark documentation.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/snowpark_connection.py#L207" - }, - "streamlit.connections.SnowparkConnection.session": { - "name": "session", - "signature": "SnowparkConnection.session", - "example": "
\n
\nimport streamlit as st\n\nsession = st.experimental_connection("snowpark").session\ndf = session.table("mytable").limit(10).to_pandas()\nst.dataframe(df)\n
\n
\n", - "description": "

Access the underlying Snowpark session.

\n
\n

Note

\n

Snowpark sessions are not thread safe. Users of this method are\nresponsible for ensuring that access to the session returned by this method is\ndone in a thread-safe manner. For most users, we recommend using the thread-safe\nsafe_session() method and a with block.

\n
\n

Information on how to use Snowpark sessions can be found in the Snowpark documentation.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/snowpark_connection.py#L184" - }, - "streamlit.connections.ExperimentalBaseConnection.reset": { - "name": "reset", - "signature": "ExperimentalBaseConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.column_config.BarChartColumn": { - "name": "BarChartColumn", - "signature": "st.column_config.BarChartColumn(label=None, *, width=None, help=None, y_min=None, y_max=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.BarChartColumn(\n            "Sales (last 6 months)",\n            help="The sales volume in the last 6 months",\n            y_min=0,\n            y_max=100,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a bar chart column in st.dataframe or st.data_editor.

\n

Cells need to contain a list of numbers. Chart columns are not editable\nat the moment. This command needs to be used in the column_config parameter\nof st.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "y_min", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value on the y-axis for all cells in the column.\nIf None (default), every cell will use the minimum of its data.

\n", - "default": null - }, - { - "name": "y_max", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum value on the y-axis for all cells in the column. If None (default),\nevery cell will use the maximum of its data.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L745" - }, - "streamlit.column_config.CheckboxColumn": { - "name": "CheckboxColumn", - "signature": "st.column_config.CheckboxColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n        "favorite": [True, False, False, True],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "favorite": st.column_config.CheckboxColumn(\n            "Your favorite?",\n            help="Select your **favorite** widgets",\n            default=False,\n        )\n    },\n    disabled=["widgets"],\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a checkbox column in st.dataframe or st.data_editor.

\n

This is the default column type for boolean values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "bool or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L565" - }, - "streamlit.column_config.Column": { - "name": "Column", - "signature": "st.column_config.Column(label=None, *, width=None, help=None, disabled=None, required=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "widgets": st.column_config.Column(\n            "Streamlit Widgets",\n            help="Streamlit **widget** commands \ud83c\udf88",\n            width="medium",\n            required=True,\n        )\n    },\n    hide_index=True,\n    num_rows="dynamic",\n)\n
\n\n \n
\n", - "description": "

Configure a generic column in st.dataframe or st.data_editor.

\n

The type of the column will be automatically inferred from the data type.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor.

\n

To change the type of the column and enable type-specific configuration options,\nuse one of the column types in the st.column_config namespace,\ne.g. st.column_config.NumberColumn.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L187" - }, - "streamlit.column_config.DateColumn": { - "name": "DateColumn", - "signature": "st.column_config.DateColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", - "examples": "
\n
\nfrom datetime import date\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "birthday": [\n            date(1980, 1, 1),\n            date(1990, 5, 3),\n            date(1974, 5, 19),\n            date(2001, 8, 17),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "birthday": st.column_config.DateColumn(\n            "Birthday",\n            min_value=date(1900, 1, 1),\n            max_value=date(2005, 1, 1),\n            format="DD.MM.YYYY",\n            step=1,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a date column in st.dataframe or st.data_editor.

\n

This is the default column type for date values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor. When used\nwith st.data_editor, editing will be enabled with a date picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "datetime.date or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A momentJS format string controlling how times are displayed. See\nmomentJS docs for available\nformats. If None (default), uses YYYY-MM-DD.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "datetime.date or None", - "is_optional": false, - "description": "

The minimum date that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "datetime.date or None", - "is_optional": false, - "description": "

The maximum date that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int or None", - "is_optional": false, - "description": "

The stepping interval in days. If None (default), the step will be 1 day.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L1277" - }, - "streamlit.column_config.DatetimeColumn": { - "name": "DatetimeColumn", - "signature": "st.column_config.DatetimeColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None, timezone=None)", - "examples": "
\n
\nfrom datetime import datetime\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "appointment": [\n            datetime(2024, 2, 5, 12, 30),\n            datetime(2023, 11, 10, 18, 0),\n            datetime(2024, 3, 11, 20, 10),\n            datetime(2023, 9, 12, 3, 0),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "appointment": st.column_config.DatetimeColumn(\n            "Appointment",\n            min_value=datetime(2023, 6, 1),\n            max_value=datetime(2025, 1, 1),\n            format="D MMM YYYY, h:mm a",\n            step=60,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a datetime column in st.dataframe or st.data_editor.

\n

This is the default column type for datetime values. This command needs to be\nused in the column_config parameter of st.dataframe or\nst.data_editor. When used with st.data_editor, editing will be enabled\nwith a datetime picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "datetime.datetime or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A momentJS format string controlling how datetimes are displayed. See\nmomentJS docs for available\nformats. If None (default), uses YYYY-MM-DD HH:mm:ss.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "datetime.datetime or None", - "is_optional": false, - "description": "

The minimum datetime that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "datetime.datetime or None", - "is_optional": false, - "description": "

The maximum datetime that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int, float, datetime.timedelta, or None", - "is_optional": false, - "description": "

The stepping interval in seconds. If None (default), the step will be 1 second.

\n", - "default": null - }, - { - "name": "timezone", - "type_name": "str or None", - "is_optional": false, - "description": "

The timezone of this column. If None (default),\nthe timezone is inferred from the underlying data.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L1042" - }, - "streamlit.column_config.ImageColumn": { - "name": "ImageColumn", - "signature": "st.column_config.ImageColumn(label=None, *, width=None, help=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "apps": [\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/5435b8cb-6c6c-490b-9608-799b543655d3/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/ef9a7627-13f2-47e5-8f65-3f69bb38a5c2/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/31b99099-8eae-4ff8-aa89-042895ed3843/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/6a399b09-241e-4ae7-a31f-7640dc1d181e/Home_Page.png",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "apps": st.column_config.ImageColumn(\n            "Preview Image", help="Streamlit app preview screenshots"\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure an image column in st.dataframe or st.data_editor.

\n

The cell values need to be one of:

\n
    \n
  • A URL to fetch the image from. This can also be a relative URL of an image\ndeployed via static file serving.\nNote that you can NOT use an arbitrary local image if it is not available through\na public URL.
    • \n
  • A data URL containing an SVG XML like data:image/svg+xml;utf8,<svg xmlns=...</svg>.
    • \n
  • A data URL containing a Base64 encoded image like data:image/png;base64,iVBO....
    • \n
\n

Image columns are not editable at the moment. This command needs to be used in the\ncolumn_config parameter of st.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L906" - }, - "streamlit.column_config.LineChartColumn": { - "name": "LineChartColumn", - "signature": "st.column_config.LineChartColumn(label=None, *, width=None, help=None, y_min=None, y_max=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.LineChartColumn(\n            "Sales (last 6 months)",\n            width="medium",\n            help="The sales volume in the last 6 months",\n            y_min=0,\n            y_max=100,\n         ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a line chart column in st.dataframe or st.data_editor.

\n

Cells need to contain a list of numbers. Chart columns are not editable\nat the moment. This command needs to be used in the column_config parameter\nof st.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "y_min", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value on the y-axis for all cells in the column.\nIf None (default), every cell will use the minimum of its data.

\n", - "default": null - }, - { - "name": "y_max", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum value on the y-axis for all cells in the column. If None (default),\nevery cell will use the maximum of its data.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L825" - }, - "streamlit.column_config.LinkColumn": { - "name": "LinkColumn", - "signature": "st.column_config.LinkColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, max_chars=None, validate=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "apps": [\n            "https://roadmap.streamlit.app",\n            "https://extras.streamlit.app",\n            "https://issues.streamlit.app",\n            "https://30days.streamlit.app",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "apps": st.column_config.LinkColumn(\n            "Trending apps",\n            help="The top trending Streamlit apps",\n            validate="^https://[a-z]+\\.streamlit\\.app$",\n            max_chars=100,\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a link column in st.dataframe or st.data_editor.

\n

The cell values need to be string and will be shown as clickable links.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor. When used with st.data_editor, editing will be enabled\nwith a text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "str or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of characters that can be entered. If None (default),\nthere will be no maximum.

\n", - "default": null - }, - { - "name": "validate", - "type_name": "str or None", - "is_optional": false, - "description": "

A regular expression (JS flavor, e.g. "^https://.+$") that edited values are validated against.\nIf the input is invalid, it will not be submitted.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L466" - }, - "streamlit.column_config.ListColumn": { - "name": "ListColumn", - "signature": "st.column_config.ListColumn(label=None, *, width=None, help=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.ListColumn(\n            "Sales (last 6 months)",\n            help="The sales volume in the last 6 months",\n            width="medium",\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a list column in st.dataframe or st.data_editor.

\n

This is the default column type for list-like values. List columns are not editable\nat the moment. This command needs to be used in the column_config parameter of\nst.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L977" - }, - "streamlit.column_config.NumberColumn": { - "name": "NumberColumn", - "signature": "st.column_config.NumberColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "price": [20, 950, 250, 500],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "price": st.column_config.NumberColumn(\n            "Price (in USD)",\n            help="The price of the product in USD",\n            min_value=0,\n            max_value=1000,\n            step=1,\n            format="$%d",\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a number column in st.dataframe or st.data_editor.

\n

This is the default column type for integer and float values. This command needs to\nbe used in the column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a numeric input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how numbers are displayed.\nThis does not impact the return value. Valid formatters: %d %e %f %g %i %u.\nYou can also add prefixes and suffixes, e.g. "$ %.2f" to show a dollar prefix.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum value that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The stepping interval. Specifies the precision of numbers that can be entered.\nIf None (default), uses 1 for integers and unrestricted precision for floats.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L262" - }, - "streamlit.column_config.ProgressColumn": { - "name": "ProgressColumn", - "signature": "st.column_config.ProgressColumn(label=None, *, width=None, help=None, format=None, min_value=None, max_value=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [200, 550, 1000, 80],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.ProgressColumn(\n            "Sales volume",\n            help="The sales volume in USD",\n            format="$%f",\n            min_value=0,\n            max_value=1000,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a progress column in st.dataframe or st.data_editor.

\n

Cells need to contain a number. Progress columns are not editable at the moment.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how numbers are displayed.\nValid formatters: %d %e %f %g %i %u. You can also add prefixes and suffixes,\ne.g. "$ %.2f" to show a dollar prefix.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value of the progress bar.\nIf None (default), will be 0.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value of the progress bar. If None (default), will be 100 for\ninteger values and 1 for float values.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L1390" - }, - "streamlit.column_config.SelectboxColumn": { - "name": "SelectboxColumn", - "signature": "st.column_config.SelectboxColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, options=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "category": [\n            "\ud83d\udcca Data Exploration",\n            "\ud83d\udcc8 Data Visualization",\n            "\ud83e\udd16 LLM",\n            "\ud83d\udcca Data Exploration",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "category": st.column_config.SelectboxColumn(\n            "App Category",\n            help="The category of the app",\n            width="medium",\n            options=[\n                "\ud83d\udcca Data Exploration",\n                "\ud83d\udcc8 Data Visualization",\n                "\ud83e\udd16 LLM",\n            ],\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a selectbox column in st.dataframe or st.data_editor.

\n

This is the default column type for Pandas categorical values. This command needs to\nbe used in the column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a selectbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "str, int, float, bool, or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "options", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

The options that can be selected during editing. If None (default), this will be\ninferred from the underlying dataframe column if its dtype is \u201ccategory\u201d\n(see Pandas docs on categorical data).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L647" - }, - "streamlit.column_config.TextColumn": { - "name": "TextColumn", - "signature": "st.column_config.TextColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, max_chars=None, validate=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "widgets": st.column_config.TextColumn(\n            "Widgets",\n            help="Streamlit **widget** commands \ud83c\udf88",\n            default="st.",\n            max_chars=50,\n            validate="^st\\.[a-z_]+$",\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a text column in st.dataframe or st.data_editor.

\n

This is the default column type for string values. This command needs to be used in the\ncolumn_config parameter of st.dataframe or st.data_editor. When used with\nst.data_editor, editing will be enabled with a text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "str or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of characters that can be entered. If None (default),\nthere will be no maximum.

\n", - "default": null - }, - { - "name": "validate", - "type_name": "str or None", - "is_optional": false, - "description": "

A regular expression (JS flavor, e.g. "^[a-z]+$") that edited values are validated against.\nIf the input is invalid, it will not be submitted.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L372" - }, - "streamlit.column_config.TimeColumn": { - "name": "TimeColumn", - "signature": "st.column_config.TimeColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", - "examples": "
\n
\nfrom datetime import time\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "appointment": [\n            time(12, 30),\n            time(18, 0),\n            time(9, 10),\n            time(16, 25),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "appointment": st.column_config.TimeColumn(\n            "Appointment",\n            min_value=time(8, 0, 0),\n            max_value=time(19, 0, 0),\n            format="hh:mm a",\n            step=60,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a time column in st.dataframe or st.data_editor.

\n

This is the default column type for time values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor. When\nused with st.data_editor, editing will be enabled with a time picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False." - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False." - }, - { - "name": "default", - "type_name": "datetime.time or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A momentJS format string controlling how times are displayed. See\nmomentJS docs for available\nformats. If None (default), uses HH:mm:ss.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "datetime.time or None", - "is_optional": false, - "description": "

The minimum time that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "datetime.time or None", - "is_optional": false, - "description": "

The maximum time that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int, float, datetime.timedelta, or None", - "is_optional": false, - "description": "

The stepping interval in seconds. If None (default), the step will be 1 second.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/lib/column_types.py#L1163" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "

Create and register a custom component.

\n", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "

Display an HTML string in an iframe.

\n", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "

Load a remote URL in an iframe.

\n", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150." - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(data=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "

Concatenate a dataframe to the bottom of the current one.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L620" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", - "description": "

Display a chart using the Altair library.

\n", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L492" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L317" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", - "description": "

Display an audio player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/media.py#L42" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "

Draw celebratory balloons.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L404" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", - "description": "

Display a button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "

Display a widget that returns pictures from the user's webcam.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the caption.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/markdown.py#L132" - }, - "DeltaGenerator.chat_input": { - "name": "chat_input", - "signature": "element.chat_input(placeholder=\"Your message\", *, key=None, max_chars=None, disabled=False, on_submit=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\n\nprompt = st.chat_input("Say something")\nif prompt:\n    st.write(f"User has sent the following prompt: {prompt}")\n
\n\n \n
\n", - "description": "

Display a chat input widget.

\n
\n

Warning

\n

Chat input can only be used once per app page and inside the main area of the app.\nIt cannot be used in the sidebar, columns, expanders, forms or tabs.\nWe plan to support this in the future.

\n
\n", - "args": [ - { - "name": "placeholder", - "type_name": "str", - "is_optional": false, - "description": "

A placeholder text shown when the chat input is empty. Defaults to\n"Your message". For accessibility reasons, you should not use an\nempty string.

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget based on\nits content. Multiple widgets of the same type may not share the same key.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of characters that can be entered. If None\n(default), there will be no maximum.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

Whether the chat input should be disabled. Defaults to False.

\n", - "default": "False." - }, - { - "name": "on_submit", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when the chat input's value is submitted.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "str or None", - "is_generator": false, - "description": "

The current (non-empty) value of the text input widget on the last\nrun of the app, None otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/chat.py#L208" - }, - "DeltaGenerator.chat_message": { - "name": "chat_message", - "signature": "element.chat_message(name, *, avatar=None)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\nimport numpy as np\n\nwith st.chat_message("user"):\n    st.write("Hello \ud83d\udc4b")\n    st.line_chart(np.random.randn(30, 3))\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\nmessage = st.chat_message("assistant")\nmessage.write("Hello human")\nmessage.bar_chart(np.random.randn(30, 3))\n
\n\n \n
\n", - "description": "

Insert a chat message container.

\n

To add elements to the returned container, you can use with notation\n(preferred) or just call methods directly on the returned object. See the\nexamples below.

\n", - "args": [ - { - "name": "name", - "type_name": "\"user\", \"assistant\", or str", - "is_optional": false, - "description": "

The name of the message author. Can be \u201cuser\u201d or \u201cassistant\u201d to\nenable preset styling and avatars.

\n

Currently, the name is not shown in the UI but is only set as an\naccessibility label. For accessibility reasons, you should not use\nan empty string.

\n", - "default": null - }, - { - "name": "avatar", - "type_name": "str, numpy.ndarray, or BytesIO", - "is_optional": false, - "description": "

The avatar shown next to the message. Can be one of:

\n
    \n
  • A single emoji, e.g. "\ud83e\uddd1\u200d\ud83d\udcbb", "\ud83e\udd16", "\ud83e\udd96". Shortcodes are not supported.
    • \n
  • \n
    An image using one of the formats allowed for st.image: path of a local
    \n
    image file; URL to fetch the image from; array of shape (w,h) or (w,h,1)\nfor a monochrome image, (w,h,3) for a color image, or (w,h,4) for an RGBA image.
    \n
    \n
    • \n
\n

If None (default), uses default icons if name is "user" or\n"assistant", or the first letter of the name value.

\n", - "default": "icons" - } - ], - "returns": [ - { - "type_name": "Container", - "is_generator": false, - "description": "

A single container that can hold multiple elements.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/chat.py#L112" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", - "description": "

Display a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/checkbox.py#L52" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(body, language=\"python\", line_numbers=False)", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - }, - { - "name": "line_numbers", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/code.py#L27" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", - "description": "

Display a color picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black." - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or iterable of numbers", - "is_optional": false, - "description": "

Controls the number and width of columns to insert. Can be one of:

\n
    \n
  • An integer that specifies the number of columns. All columns have equal\nwidth in this case.
    • \n
  • An iterable of numbers (int or float) that specify the relative width of\neach column. E.g. [0.7, 0.3] creates two columns where the first\none takes up 70% of the available with and the second one takes up 30%.\nOr [1, 2, 3] creates three columns where the second one is two times\nthe width of the first one, and the third one is three times that width.
    • \n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "\"small\", \"medium\", or \"large\"", - "is_optional": false, - "description": "

The size of the gap between the columns. Defaults to "small". This\nargument can only be supplied by keyword.

\n", - "default": "s" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/layouts.py#L75" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/layouts.py#L27" - }, - "DeltaGenerator.data_editor": { - "name": "data_editor", - "signature": "element.data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n

Mixing data types within a column can make the column uneditable.\nAdditionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.

\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/data_editor.py#L527" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(data=None, width=None, height=None, *, use_container_width=False, hide_index=None, column_order=None, column_config=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n

Or you can customize the dataframe via column_config, hide_index, or column_order:

\n
\nimport random\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    {\n        "name": ["Roadmap", "Extras", "Issues"],\n        "url": ["https://roadmap.streamlit.app", "https://extras.streamlit.app", "https://issues.streamlit.app"],\n        "stars": [random.randint(0, 1000) for _ in range(3)],\n        "views_history": [[random.randint(0, 5000) for _ in range(30)] for _ in range(3)],\n    }\n)\nst.dataframe(\n    df,\n    column_config={\n        "name": "App name",\n        "stars": st.column_config.NumberColumn(\n            "Github Stars",\n            help="Number of stars on GitHub",\n            format="%d \u2b50",\n        ),\n        "url": st.column_config.LinkColumn("App URL"),\n        "views_history": st.column_config.LineChartColumn(\n            "Views (past 30 days)", y_min=0, y_max=5000\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Display a dataframe as an interactive table.

\n

This command works with dataframes from Pandas, PyArrow, Snowpark, and PySpark.\nIt can also display several other types that can be converted to dataframes,\ne.g. numpy arrays, lists, sets and dictionaries.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat. This needs to be a dictionary where each key is a column name and\nthe value is one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L43" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input(\n    "When\\'s your birthday",\n    datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n
\n", - "description": "

Display a date input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/time_widgets.py#L398" - }, - "DeltaGenerator.dg": { - "name": "dg", - "signature": "element.dg", - "description": "

Get our DeltaGenerator.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/alert.py#L168" - }, - "DeltaGenerator.divider": { - "name": "divider", - "signature": "element.divider()", - "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", - "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/markdown.py#L244" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/button.py#L169" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "

Display error message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/alert.py#L39" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "

Display an exception.

\n", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/layouts.py#L315" - }, - "DeltaGenerator.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "element.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n

Mixing data types within a column can make the column uneditable.\nAdditionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.

\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False." - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/data_editor.py#L527" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/file_uploader.py#L214" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/form.py#L118" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None." - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/form.py#L211" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", - "description": "

Display a graph using the dagre-d3 library.

\n", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in header formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the header.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/heading.py#L40" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(obj=)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", - "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", - "args": [ - { - "name": "obj", - "type_name": "any", - "is_optional": false, - "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/doc_string.py#L48" - }, - "DeltaGenerator.id": { - "name": "id", - "signature": "element.id" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", - "description": "

Display an image or list of images.

\n", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "\"auto\", \"always\", \"never\", or bool", - "is_optional": false, - "description": "

If "auto", set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf "always" or True, set the image's width to the column width.\nIf "never" or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "\"RGB\" or \"BGR\"", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to "RGB", meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to "BGR", instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "\"JPEG\", \"PNG\", or \"auto\"", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to "auto" which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/image.py#L88" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "

Display an informational message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/alert.py#L103" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", - "description": "

Display object or string as a pretty-printed JSON string.

\n", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/markdown.py#L196" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L230" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(data=None, zoom=None, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n
\n", - "description": "

Display a map with points on it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted. Must have two columns:

\n
    \n
  • latitude called 'lat', 'latitude', 'LAT', 'LATITUDE'
    • \n
  • longitude called 'lon', 'longitude', 'LON', 'LONGITUDE'.
    • \n
\n", - "default": null - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/map.py#L76" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown("This text is :red[colored red], and this is **:blue[colored]** and bold.")\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "

Display string formatted as Markdown.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/markdown.py#L31" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "\"normal\", \"inverse\", or \"off\"", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/metric.py#L46" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", max_selections=None)", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values." - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", - "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "\"streamlit\", \"private\", \"secret\", or \"public\"", - "is_optional": false, - "description": "

Use "streamlit" to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "

Display a progress bar.

\n", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/progress.py#L66" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", - "description": "

Display a matplotlib.pyplot figure.

\n", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. Defaults to True.

\n", - "default": "s" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", - "description": "

Display a radio button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False." - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": "." - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", - "description": "

Display a select widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": "." - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value." - }, - { - "name": "step", - "type_name": "int, float, timedelta, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/slider.py#L171" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "

Draw celebratory snowfall.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in subheader formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the subheader.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/heading.py#L93" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "

Display a success message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/alert.py#L136" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L192" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": "." - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/layouts.py#L203" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "

Write fixed-width and preformatted text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the text.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "

Display a multi-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/text_widgets.py#L274" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", - "description": "

Display a single-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"default\" or \"password\"", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/text_widgets.py#L71" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", - "description": "

Display a time input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False." - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "step", - "type_name": "int or timedelta", - "is_optional": false, - "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", - "default": "900" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/time_widgets.py#L213" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the title.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/heading.py#L146" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "

Display a chart using the Vega-Lite library.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/dataframe_selector.py#L545" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "

Display a video player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file opened with", - "is_optional": false, - "description": "

io.open().\nRaw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/media.py#L116" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "

Display warning message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/alert.py#L71" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False." - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.24.0/lib/streamlit/elements/write.py#L49" - } - }, - "1.25.0": { - "streamlit.altair_chart": { - "name": "altair_chart", - "signature": "st.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", - "description": "

Display a chart using the Altair library.

\n", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L492" - }, - "streamlit.area_chart": { - "name": "area_chart", - "signature": "st.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L317" - }, - "streamlit.audio": { - "name": "audio", - "signature": "st.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", - "description": "

Display an audio player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file", - "is_optional": false, - "description": "

Raw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/media.py#L42" - }, - "streamlit.balloons": { - "name": "balloons", - "signature": "st.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "

Draw celebratory balloons.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/balloons.py#L25" - }, - "streamlit.bar_chart": { - "name": "bar_chart", - "signature": "st.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L404" - }, - "streamlit.bokeh_chart": { - "name": "bokeh_chart", - "signature": "st.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "streamlit.button": { - "name": "button", - "signature": "st.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", - "description": "

Display a button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/button.py#L61" - }, - "streamlit.cache": { - "name": "cache", - "signature": "st.cache(func=None, persist=False, allow_output_mutation=False, show_spinner=True, suppress_st_warning=False, hash_funcs=None, max_entries=None, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\n@st.cache(persist=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To disable hashing return values, set the allow_output_mutation parameter to True:

\n
\n@st.cache(allow_output_mutation=True)\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. MongoClient) to a hash function (id) like this:

\n
\n@st.cache(hash_funcs={MongoClient: id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "pymongo.mongo_client.MongoClient") to the hash function instead:

\n
\n@st.cache(hash_funcs={"pymongo.mongo_client.MongoClient": id})\ndef connect_to_database(url):\n    return MongoClient(url)\n
\n
\n", - "description": "

Function decorator to memoize function executions.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function and dependent code.

\n", - "default": null - }, - { - "name": "persist", - "type_name": "boolean", - "is_optional": false, - "description": "

Whether to persist the cache on disk.

\n", - "default": null - }, - { - "name": "allow_output_mutation", - "type_name": "boolean", - "is_optional": false, - "description": "

Streamlit shows a warning when return values are mutated, as that\ncan have unintended consequences. This is done by hashing the return value internally.

\n

If you know what you're doing and would like to override this warning, set this to True.

\n", - "default": null - }, - { - "name": "show_spinner", - "type_name": "boolean", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na cache miss.

\n", - "default": "True" - }, - { - "name": "suppress_st_warning", - "type_name": "boolean", - "is_optional": false, - "description": "

Suppress warnings about calling Streamlit commands from within\nthe cached function.

\n", - "default": null - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions. This is used to override\nthe behavior of the hasher inside Streamlit's caching mechanism: when the hasher\nencounters an object, it will first check to see if its type matches a key in this\ndict and, if so, will use the provided function to generate a hash for it. See below\nfor an example of how this can be used.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/runtime/legacy_caching/caching.py#L486" - }, - "streamlit.cache_data": { - "name": "cache_data", - "signature": "st.cache_data(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets, hash_funcs=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. datetime.datetime) to a hash\nfunction (lambda dt: dt.isoformat()) like this:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={datetime.datetime: lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "datetime.datetime") to the hash function instead:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={"datetime.datetime": lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None" - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "\"disk\", boolean, or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None" - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/runtime/caching/cache_data_api.py#L384" - }, - "streamlit.cache_resource": { - "name": "cache_resource", - "signature": "st.cache_resource(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets, hash_funcs=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. Person) to a hash\nfunction (str) like this:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={Person: str})\ndef get_person_name(person: Person):\n    return person.name\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "__main__.Person") to the hash function instead:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={"__main__.Person": str})\ndef get_person_name(person: Person):\n    return person.name\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None" - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/runtime/caching/cache_resource_api.py#L264" - }, - "streamlit.camera_input": { - "name": "camera_input", - "signature": "st.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "

Display a widget that returns pictures from the user's webcam.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/camera_input.py#L109" - }, - "streamlit.caption": { - "name": "caption", - "signature": "st.caption(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the caption.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/markdown.py#L132" - }, - "streamlit.chat_input": { - "name": "chat_input", - "signature": "st.chat_input(placeholder=\"Your message\", *, key=None, max_chars=None, disabled=False, on_submit=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\n\nprompt = st.chat_input("Say something")\nif prompt:\n    st.write(f"User has sent the following prompt: {prompt}")\n
\n\n \n
\n", - "description": "

Display a chat input widget.

\n
\n

Warning

\n

Chat input can only be used once per app page and inside the main area of the app.\nIt cannot be used in the sidebar, columns, expanders, forms or tabs.\nWe plan to support this in the future.

\n
\n", - "args": [ - { - "name": "placeholder", - "type_name": "str", - "is_optional": false, - "description": "

A placeholder text shown when the chat input is empty. Defaults to\n"Your message". For accessibility reasons, you should not use an\nempty string.

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget based on\nits content. Multiple widgets of the same type may not share the same key.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of characters that can be entered. If None\n(default), there will be no maximum.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

Whether the chat input should be disabled. Defaults to False.

\n", - "default": "False" - }, - { - "name": "on_submit", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when the chat input's value is submitted.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "str or None", - "is_generator": false, - "description": "

The current (non-empty) value of the text input widget on the last\nrun of the app, None otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/chat.py#L208" - }, - "streamlit.chat_message": { - "name": "chat_message", - "signature": "st.chat_message(name, *, avatar=None)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\nimport numpy as np\n\nwith st.chat_message("user"):\n    st.write("Hello \ud83d\udc4b")\n    st.line_chart(np.random.randn(30, 3))\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\nmessage = st.chat_message("assistant")\nmessage.write("Hello human")\nmessage.bar_chart(np.random.randn(30, 3))\n
\n\n \n
\n", - "description": "

Insert a chat message container.

\n

To add elements to the returned container, you can use with notation\n(preferred) or just call methods directly on the returned object. See the\nexamples below.

\n", - "args": [ - { - "name": "name", - "type_name": "\"user\", \"assistant\", or str", - "is_optional": false, - "description": "

The name of the message author. Can be \u201cuser\u201d or \u201cassistant\u201d to\nenable preset styling and avatars.

\n

Currently, the name is not shown in the UI but is only set as an\naccessibility label. For accessibility reasons, you should not use\nan empty string.

\n", - "default": null - }, - { - "name": "avatar", - "type_name": "str, numpy.ndarray, or BytesIO", - "is_optional": false, - "description": "

The avatar shown next to the message. Can be one of:

\n
    \n
  • A single emoji, e.g. "\ud83e\uddd1\u200d\ud83d\udcbb", "\ud83e\udd16", "\ud83e\udd96". Shortcodes are not supported.
    • \n
  • \n
    An image using one of the formats allowed for st.image: path of a local
    \n
    image file; URL to fetch the image from; array of shape (w,h) or (w,h,1)\nfor a monochrome image, (w,h,3) for a color image, or (w,h,4) for an RGBA image.
    \n
    \n
    • \n
\n

If None (default), uses default icons if name is "user" or\n"assistant", or the first letter of the name value.

\n", - "default": "icons" - } - ], - "returns": [ - { - "type_name": "Container", - "is_generator": false, - "description": "

A single container that can hold multiple elements.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/chat.py#L112" - }, - "streamlit.checkbox": { - "name": "checkbox", - "signature": "st.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", - "description": "

Display a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/checkbox.py#L52" - }, - "streamlit.code": { - "name": "code", - "signature": "st.code(body, language=\"python\", line_numbers=False)", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - }, - { - "name": "line_numbers", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/code.py#L27" - }, - "streamlit.color_picker": { - "name": "color_picker", - "signature": "st.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", - "description": "

Display a color picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/color_picker.py#L52" - }, - "streamlit.columns": { - "name": "columns", - "signature": "st.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or iterable of numbers", - "is_optional": false, - "description": "

Controls the number and width of columns to insert. Can be one of:

\n
    \n
  • An integer that specifies the number of columns. All columns have equal\nwidth in this case.
    • \n
  • An iterable of numbers (int or float) that specify the relative width of\neach column. E.g. [0.7, 0.3] creates two columns where the first\none takes up 70% of the available with and the second one takes up 30%.\nOr [1, 2, 3] creates three columns where the second one is two times\nthe width of the first one, and the third one is three times that width.
    • \n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "\"small\", \"medium\", or \"large\"", - "is_optional": false, - "description": "

The size of the gap between the columns. Defaults to "small". This\nargument can only be supplied by keyword.

\n", - "default": "s" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/layouts.py#L75" - }, - "streamlit.container": { - "name": "container", - "signature": "st.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/layouts.py#L27" - }, - "streamlit.data_editor": { - "name": "data_editor", - "signature": "st.data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n
    \n
  • Styles from pandas.Styler will only be applied to non-editable columns.
    • \n
  • Mixing data types within a column can make the column uneditable.
    • \n
  • Additionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.
    • \n
\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False" - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/data_editor.py#L528" - }, - "streamlit.dataframe": { - "name": "dataframe", - "signature": "st.dataframe(data=None, width=None, height=None, *, use_container_width=False, hide_index=None, column_order=None, column_config=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n

Or you can customize the dataframe via column_config, hide_index, or column_order:

\n
\nimport random\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    {\n        "name": ["Roadmap", "Extras", "Issues"],\n        "url": ["https://roadmap.streamlit.app", "https://extras.streamlit.app", "https://issues.streamlit.app"],\n        "stars": [random.randint(0, 1000) for _ in range(3)],\n        "views_history": [[random.randint(0, 5000) for _ in range(30)] for _ in range(3)],\n    }\n)\nst.dataframe(\n    df,\n    column_config={\n        "name": "App name",\n        "stars": st.column_config.NumberColumn(\n            "Github Stars",\n            help="Number of stars on GitHub",\n            format="%d \u2b50",\n        ),\n        "url": st.column_config.LinkColumn("App URL"),\n        "views_history": st.column_config.LineChartColumn(\n            "Views (past 30 days)", y_min=0, y_max=5000\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Display a dataframe as an interactive table.

\n

This command works with dataframes from Pandas, PyArrow, Snowpark, and PySpark.\nIt can also display several other types that can be converted to dataframes,\ne.g. numpy arrays, lists, sets and dictionaries.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat. This needs to be a dictionary where each key is a column name and\nthe value is one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L43" - }, - "streamlit.date_input": { - "name": "date_input", - "signature": "st.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, format=\"YYYY/MM/DD\", disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input("When's your birthday", datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n 
\nimport datetime\nimport streamlit as st\n\ntoday = datetime.datetime.now()\nnext_year = today.year + 1\njan_1 = datetime.date(next_year, 1, 1)\ndec_31 = datetime.date(next_year, 12, 31)\n\nd = st.date_input(\n    "Select your vacation for next year",\n    (jan_1, datetime.date(next_year, 1, 7)),\n    jan_1,\n    dec_31,\n    format="MM.DD.YYYY",\n)\nd\n
\n\n \n
\n", - "description": "

Display a date input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

A format string controlling how the interface should display dates.\nSupports \u201cYYYY/MM/DD\u201d (default), \u201cDD/MM/YYYY\u201d, or \u201cMM/DD/YYYY\u201d.\nYou may also use a period (.) or hyphen (-) as separators.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/time_widgets.py#L402" - }, - "streamlit.divider": { - "name": "divider", - "signature": "st.divider()", - "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", - "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/markdown.py#L244" - }, - "streamlit.download_button": { - "name": "download_button", - "signature": "st.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/button.py#L169" - }, - "streamlit.echo": { - "name": "echo", - "signature": "st.echo(code_location=\"above\")", - "example": "
\n
\nimport streamlit as st\n\nwith st.echo():\n    st.write('This code will be printed')\n
\n
\n", - "description": "

Use in a with block to draw some code on the app, then execute it.

\n", - "args": [ - { - "name": "code_location", - "type_name": "\"above\" or \"below\"", - "is_optional": false, - "description": "

Whether to show the echoed code before or after the results of the\nexecuted code block.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/echo.py#L28" - }, - "streamlit.empty": { - "name": "empty", - "signature": "st.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/empty.py#L24" - }, - "streamlit.error": { - "name": "error", - "signature": "st.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "

Display error message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/alert.py#L27" - }, - "streamlit.exception": { - "name": "exception", - "signature": "st.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "

Display an exception.

\n", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/exception.py#L50" - }, - "streamlit.expander": { - "name": "expander", - "signature": "st.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/layouts.py#L315" - }, - "streamlit.experimental_connection": { - "name": "experimental_connection", - "signature": "st.experimental_connection(name, type=None, max_entries=None, ttl=None, **kwargs)", - "examples": "
\n

The easiest way to create a first-party (SQL or Snowpark) connection is to use their\ndefault names and define corresponding sections in your secrets.toml file.

\n
\nimport streamlit as st\nconn = st.experimental_connection("sql") # Config section defined in [connections.sql] in secrets.toml.\n
\n

Creating a SQLConnection with a custom name requires you to explicitly specify the\ntype. If type is not passed as a kwarg, it must be set in the appropriate section of\nsecrets.toml.

\n
\nimport streamlit as st\nconn1 = st.experimental_connection("my_sql_connection", type="sql") # Config section defined in [connections.my_sql_connection].\nconn2 = st.experimental_connection("my_other_sql_connection") # type must be set in [connections.my_other_sql_connection].\n
\n

Passing the full module path to the connection class that you want to use can be\nuseful, especially when working with a custom connection:

\n
\nimport streamlit as st\nconn = st.experimental_connection("my_sql_connection", type="streamlit.connections.SQLConnection")\n
\n

Finally, you can pass the connection class to use directly to this function. Doing\nso allows static type checking tools such as mypy to infer the exact return\ntype of st.experimental_connection.

\n
\nimport streamlit as st\nfrom streamlit.connections import SQLConnection\nconn = st.experimental_connection("my_sql_connection", type=SQLConnection)\n
\n
\n", - "description": "

Create a new connection to a data store or API, or return an existing one.

\n

Config options, credentials, secrets, etc. for connections are taken from various\nsources:

\n
    \n
  • Any connection-specific configuration files.
    • \n
  • An app's secrets.toml files.
    • \n
  • The kwargs passed to this function.
    • \n
\n", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

The connection name used for secrets lookup in [connections.<name>].\nType will be inferred from passing "sql" or "snowpark".

\n", - "default": null - }, - { - "name": "type", - "type_name": "str, connection class, or None", - "is_optional": false, - "description": "

The type of connection to create. It can be a keyword ("sql" or "snowpark"),\na path to an importable class, or an imported class reference. All classes\nmust extend st.connections.ExperimentalBaseConnection and implement the\n_connect() method. If the type kwarg is None, a type field must be set\nin the connection's section in secrets.toml.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of connections to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" - }, - { - "name": "ttl", - "type_name": "float, timedelta, or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Additional connection specific kwargs that are passed to the Connection's\n_connect() method. Learn more from the specific Connection's documentation.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "Connection object", - "is_generator": false, - "description": "

An initialized Connection object of the specified type.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/runtime/connection_factory.py#L170" - }, - "streamlit.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "st.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n
    \n
  • Styles from pandas.Styler will only be applied to non-editable columns.
    • \n
  • Mixing data types within a column can make the column uneditable.
    • \n
  • Additionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.
    • \n
\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False" - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/data_editor.py#L528" - }, - "streamlit.experimental_get_query_params": { - "name": "experimental_get_query_params", - "signature": "st.experimental_get_query_params()", - "example": "
\n

Let's say the user's web browser is at\nhttp://localhost:8501/?show_map=True&selected=asia&selected=america.\nThen, you can get the query parameters using the following:

\n
\nimport streamlit as st\n\nst.experimental_get_query_params()\n{"show_map": ["True"], "selected": ["asia", "america"]}\n
\n

Note that the values in the returned dict are always lists. This is\nbecause we internally use Python's urllib.parse.parse_qs(), which behaves\nthis way. And this behavior makes sense when you consider that every item\nin a query string is potentially a 1-element array.

\n
\n", - "description": "

Return the query parameters that is currently showing in the browser's URL bar.

\n", - "args": [], - "returns": [ - { - "type_name": "dict", - "is_generator": false, - "description": "

The current query parameters as a dict. "Query parameters" are the part of the URL that comes\nafter the first "?".

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/commands/query_params.py#L29" - }, - "streamlit.experimental_memo": { - "name": "experimental_memo", - "signature": "st.experimental_memo(func=None, *, ttl, max_entries, show_spinner, persist, experimental_allow_widgets, hash_funcs=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n\nd1 = fetch_and_clean_data(DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nd2 = fetch_and_clean_data(DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the data in d1 is the same as in d2.\n\nd3 = fetch_and_clean_data(DATA_URL_2)\n# This is a different URL, so the function executes.\n
\n

To set the persist parameter, use this command as follows:

\n
\nimport streamlit as st\n\n@st.cache_data(persist="disk")\ndef fetch_and_clean_data(url):\n    # Fetch data from URL here, and then clean it up.\n    return data\n
\n

By default, all parameters to a cached function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nconnection = make_database_connection()\nd1 = fetch_and_clean_data(connection, num_rows=10)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\nanother_connection = make_database_connection()\nd2 = fetch_and_clean_data(another_connection, num_rows=10)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _database_connection parameter was different\n# in both calls.\n
\n

A cached function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_data\ndef fetch_and_clean_data(_db_connection, num_rows):\n    # Fetch data from _db_connection here, and then clean it up.\n    return data\n\nfetch_and_clean_data.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. datetime.datetime) to a hash\nfunction (lambda dt: dt.isoformat()) like this:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={datetime.datetime: lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "datetime.datetime") to the hash function instead:

\n
\nimport streamlit as st\nimport datetime\n\n@st.cache_data(hash_funcs={"datetime.datetime": lambda dt: dt.isoformat()})\ndef convert_to_utc(dt: datetime.datetime):\n    return dt.astimezone(datetime.timezone.utc)\n
\n
\n", - "description": "

Decorator to cache functions that return data (e.g. dataframe transforms, database queries, ML inference).

\n

Cached objects are stored in "pickled" form, which means that the return\nvalue of a cached function must be pickleable. Each caller of the cached\nfunction gets its own copy of the cached data.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_data.clear().

\n

To cache global resources, use st.cache_resource instead. Learn more\nabout caching at https://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function to cache. Streamlit hashes the function's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None" - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached data is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "persist", - "type_name": "\"disk\", boolean, or None", - "is_optional": false, - "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None" - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/runtime/caching/cache_data_api.py#L384" - }, - "streamlit.experimental_rerun": { - "name": "experimental_rerun", - "signature": "st.experimental_rerun()", - "description": "

Rerun the script immediately.

\n

When st.experimental_rerun() is called, the script is halted - no\nmore statements will be run, and the script will be queued to re-run\nfrom the top.

\n

If this function is called outside of Streamlit, it will raise an\nException.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/commands/execution_control.py#L46" - }, - "streamlit.experimental_set_query_params": { - "name": "experimental_set_query_params", - "signature": "st.experimental_set_query_params(**query_params)", - "example": "
\n

To point the user's web browser to something like\n"http://localhost:8501/?show_map=True&selected=asia&selected=america",\nyou would do the following:

\n
\nimport streamlit as st\n\nst.experimental_set_query_params(\n    show_map=True,\n    selected=["asia", "america"],\n)\n
\n
\n", - "description": "

Set the query parameters that are shown in the browser's URL bar.

\n
\n

Warning

\n

Query param embed cannot be set using this method.

\n
\n", - "args": [ - { - "name": "**query_params", - "type_name": "dict", - "is_optional": false, - "description": "

The query parameters to set, as key-value pairs.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/commands/query_params.py#L65" - }, - "streamlit.experimental_singleton": { - "name": "experimental_singleton", - "signature": "st.experimental_singleton(func, *, ttl, max_entries, show_spinner, validate, experimental_allow_widgets, hash_funcs=None)", - "example": "
\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(url):\n    # Create a database session object that points to the URL.\n    return session\n\ns1 = get_database_session(SESSION_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(SESSION_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value. This means that now the connection object in s1 is the same as in s2.\n\ns3 = get_database_session(SESSION_URL_2)\n# This is a different URL, so the function executes.\n
\n

By default, all parameters to a cache_resource function must be hashable.\nAny parameter whose name begins with _ will not be hashed. You can use\nthis as an "escape hatch" for parameters that are not hashable:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\ns1 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Actually executes the function, since this is the first time it was\n# encountered.\n\ns2 = get_database_session(create_sessionmaker(), DATA_URL_1)\n# Does not execute the function. Instead, returns its previously computed\n# value - even though the _sessionmaker parameter was different\n# in both calls.\n
\n

A cache_resource function's cache can be procedurally cleared:

\n
\nimport streamlit as st\n\n@st.cache_resource\ndef get_database_session(_sessionmaker, url):\n    # Create a database connection object that points to the URL.\n    return connection\n\nget_database_session.clear()\n# Clear all cached entries for this function.\n
\n

To override the default hashing behavior, pass a custom hash function.\nYou can do that by mapping a type (e.g. Person) to a hash\nfunction (str) like this:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={Person: str})\ndef get_person_name(person: Person):\n    return person.name\n
\n

Alternatively, you can map the type's fully-qualified name\n(e.g. "__main__.Person") to the hash function instead:

\n
\nimport streamlit as st\nfrom pydantic import BaseModel\n\nclass Person(BaseModel):\n    name: str\n\n@st.cache_resource(hash_funcs={"__main__.Person": str})\ndef get_person_name(person: Person):\n    return person.name\n
\n
\n", - "description": "

Decorator to cache functions that return global resources (e.g. database connections, ML models).

\n

Cached objects are shared across all users, sessions, and reruns. They\nmust be thread-safe because they can be accessed from multiple threads\nconcurrently. If thread safety is an issue, consider using st.session_state\nto store resources per session instead.

\n

You can clear a function's cache with func.clear() or clear the entire\ncache with st.cache_resource.clear().

\n

To cache data, use st.cache_data instead. Learn more about caching at\nhttps://docs.streamlit.io/library/advanced-features/caching.

\n", - "args": [ - { - "name": "func", - "type_name": "callable", - "is_optional": false, - "description": "

The function that creates the cached resource. Streamlit hashes the\nfunction's source code.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, timedelta, str, or None", - "is_optional": false, - "description": "

The maximum time to keep an entry in the cache. Can be one of:

\n\n

Note that ttl will be ignored if persist="disk" or persist=True.

\n", - "default": null - }, - { - "name": "max_entries", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None" - }, - { - "name": "show_spinner", - "type_name": "boolean or string", - "is_optional": false, - "description": "

Enable the spinner. Default is True to show a spinner when there is\na "cache miss" and the cached resource is being created. If string,\nvalue of show_spinner param will be used for spinner text.

\n", - "default": "True" - }, - { - "name": "validate", - "type_name": "callable or None", - "is_optional": false, - "description": "

An optional validation function for cached data. validate is called\neach time the cached value is accessed. It receives the cached value as\nits only parameter and it must return a boolean. If validate returns\nFalse, the current cached value is discarded, and the decorated function\nis called to compute a new value. This is useful e.g. to check the\nhealth of database connections.

\n", - "default": null - }, - { - "name": "experimental_allow_widgets", - "type_name": "boolean", - "is_optional": false, - "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" - }, - { - "name": "hash_funcs", - "type_name": "dict or None", - "is_optional": false, - "description": "

Mapping of types or fully qualified names to hash functions.\nThis is used to override the behavior of the hasher inside Streamlit's\ncaching mechanism: when the hasher encounters an object, it will first\ncheck to see if its type matches a key in this dict and, if so, will use\nthe provided function to generate a hash for it. See below for an example\nof how this can be used.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/runtime/caching/cache_resource_api.py#L264" - }, - "streamlit.file_uploader": { - "name": "file_uploader", - "signature": "st.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/file_uploader.py#L214" - }, - "streamlit.form": { - "name": "form", - "signature": "st.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n\n \n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
  • Within a form, the only widget that can have a callback function is\nst.form_submit_button.
    • \n
\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/form.py#L118" - }, - "streamlit.form_submit_button": { - "name": "form_submit_button", - "signature": "st.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/form.py#L218" - }, - "streamlit.get_option": { - "name": "get_option", - "signature": "st.get_option(key)", - "description": "

Return the current value of a given Streamlit config option.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/config.py#L131" - }, - "streamlit.graphviz_chart": { - "name": "graphviz_chart", - "signature": "st.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", - "description": "

Display a graph using the dagre-d3 library.

\n", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "streamlit.header": { - "name": "header", - "signature": "st.header(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in header formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the header.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/heading.py#L40" - }, - "streamlit.help": { - "name": "help", - "signature": "st.help(obj=)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", - "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", - "args": [ - { - "name": "obj", - "type_name": "any", - "is_optional": false, - "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/doc_string.py#L48" - }, - "streamlit.image": { - "name": "image", - "signature": "st.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", - "description": "

Display an image or list of images.

\n", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "\"auto\", \"always\", \"never\", or bool", - "is_optional": false, - "description": "

If "auto", set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf "always" or True, set the image's width to the column width.\nIf "never" or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "\"RGB\" or \"BGR\"", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to "RGB", meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to "BGR", instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "\"JPEG\", \"PNG\", or \"auto\"", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to "auto" which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/image.py#L88" - }, - "streamlit.info": { - "name": "info", - "signature": "st.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "

Display an informational message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/alert.py#L91" - }, - "streamlit.json": { - "name": "json", - "signature": "st.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", - "description": "

Display object or string as a pretty-printed JSON string.

\n", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/json.py#L35" - }, - "streamlit.latex": { - "name": "latex", - "signature": "st.latex(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/markdown.py#L196" - }, - "streamlit.line_chart": { - "name": "line_chart", - "signature": "st.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L230" - }, - "streamlit.map": { - "name": "map", - "signature": "st.map(data=None, *, latitude=None, longitude=None, color=None, size=None, zoom=None, use_container_width=True)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n

You can also customize the size and color of the datapoints:

\n
\nst.map(df, size=20, color='#0044ff')\n
\n

And finally, you can choose different columns to use for the latitude\nand longitude components, as well as set size and color of each\ndatapoint dynamically based on other columns:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame({\n    "col1": np.random.randn(1000) / 50 + 37.76,\n    "col2": np.random.randn(1000) / 50 + -122.4,\n    "col3": np.random.randn(1000) * 100,\n    "col4": np.random.rand(1000, 4).tolist(),\n})\n\nst.map(df,\n    latitude='col1',\n    longitude='col2',\n    size='col3',\n    color='col4')\n
\n\n \n
\n", - "description": "

Display a map with a scatterplot overlaid onto it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted.

\n", - "default": null - }, - { - "name": "latitude", - "type_name": "str or None", - "is_optional": false, - "description": "

The name of the column containing the latitude coordinates of\nthe datapoints in the chart. This argument can only be supplied\nby keyword.

\n

If None, the latitude data will come from any column named 'lat',\n'latitude', 'LAT', or 'LATITUDE'.

\n", - "default": null - }, - { - "name": "longitude", - "type_name": "str or None", - "is_optional": false, - "description": "

The name of the column containing the longitude coordinates of\nthe datapoints in the chart. This argument can only be supplied\nby keyword.

\n

If None, the longitude data will come from any column named 'lon',\n'longitude', 'LON', or 'LONGITUDE'.

\n", - "default": null - }, - { - "name": "color", - "type_name": "str or tuple or None", - "is_optional": false, - "description": "

The color of the circles representing each datapoint. This argument\ncan only be supplied by keyword.

\n

Can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
  • The name of the column to use for the color. Cells in this column\nshould contain colors represented as a hex string or color tuple,\nas described above.
    • \n
\n", - "default": "color" - }, - { - "name": "size", - "type_name": "str or float or None", - "is_optional": false, - "description": "

The size of the circles representing each point, in meters. This\nargument can only be supplied by keyword.

\n

This can be:

\n
    \n
  • None, to use the default size.
    • \n
  • A number like 100, to specify a single size to use for all\ndatapoints.
    • \n
  • The name of the column to use for the size. This allows each\ndatapoint to be represented by a circle of a different size.
    • \n
\n", - "default": "size" - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/map.py#L91" - }, - "streamlit.markdown": { - "name": "markdown", - "signature": "st.markdown(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown("This text is :red[colored red], and this is **:blue[colored]** and bold.")\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "

Display string formatted as Markdown.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/markdown.py#L31" - }, - "streamlit.metric": { - "name": "metric", - "signature": "st.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "\"normal\", \"inverse\", or \"off\"", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/metric.py#L46" - }, - "streamlit.multiselect": { - "name": "multiselect", - "signature": "st.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, max_selections=None, placeholder=\"Choose an option\", disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str", - "is_optional": false, - "description": "

A string to display when no options are selected. Defaults to 'Choose an option'.

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/multiselect.py#L145" - }, - "streamlit.number_input": { - "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", - "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/number_input.py#L66" - }, - "streamlit.plotly_chart": { - "name": "plotly_chart", - "signature": "st.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "\"streamlit\", \"private\", \"secret\", or \"public\"", - "is_optional": false, - "description": "

Use "streamlit" to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "streamlit.progress": { - "name": "progress", - "signature": "st.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "

Display a progress bar.

\n", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/progress.py#L66" - }, - "streamlit.pydeck_chart": { - "name": "pydeck_chart", - "signature": "st.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "streamlit.pyplot": { - "name": "pyplot", - "signature": "st.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", - "description": "

Display a matplotlib.pyplot figure.

\n", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. Defaults to True.

\n", - "default": "s" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/pyplot.py#L38" - }, - "streamlit.radio": { - "name": "radio", - "signature": "st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", - "description": "

Display a radio button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/radio.py#L75" - }, - "streamlit.select_slider": { - "name": "select_slider", - "signature": "st.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/select_slider.py#L106" - }, - "streamlit.selectbox": { - "name": "selectbox", - "signature": "st.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=\"Select...\", disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", - "description": "

Display a select widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str", - "is_optional": false, - "description": "

A string to display when no options are selected. Defaults to 'Select...'.

\n

A selectbox can't be empty, so a placeholder only displays while a\nuser's cursor is in a selectbox after manually deleting the current\nselection. A future update will allow selectboxes to be empty.

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/selectbox.py#L71" - }, - "streamlit.set_option": { - "name": "set_option", - "signature": "st.set_option(key, value)", - "description": "

Set config option.

\n
\n
Currently, only the following config options can be set within the script itself:
\n
    \n
  • client.caching
    • \n
  • client.displayEnabled
    • \n
  • deprecation.*
    • \n
\n
\n
\n

Calling with any other options will raise StreamlitAPIException.

\n

Run streamlit config show in the terminal to see all available options.

\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

The config option key of the form "section.optionName". To see all\navailable options, run streamlit config show on a terminal.

\n", - "default": null - }, - { - "name": "value", - "type_name": null, - "is_optional": null, - "description": "

The new value to assign to this config option.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/config.py#L92" - }, - "streamlit.set_page_config": { - "name": "set_page_config", - "signature": "st.set_page_config(page_title=None, page_icon=None, layout=\"centered\", initial_sidebar_state=\"auto\", menu_items=None)", - "example": "
\nimport streamlit as st\n\nst.set_page_config(\n    page_title="Ex-stream-ly Cool App",\n    page_icon="\ud83e\uddca",\n    layout="wide",\n    initial_sidebar_state="expanded",\n    menu_items={\n        'Get Help': 'https://www.extremelycoolapp.com/help',\n        'Report a bug': "https://www.extremelycoolapp.com/bug",\n        'About': "# This is a header. This is an *extremely* cool app!"\n    }\n)\n
\n", - "description": "

Configures the default settings of the page.

\n
\n

Note

\n

This must be the first Streamlit command used on an app page, and must only\nbe set once per page.

\n
\n", - "args": [ - { - "name": "page_title", - "type_name": "str or None", - "is_optional": false, - "description": "

The page title, shown in the browser tab. If None, defaults to the\nfilename of the script ("app.py" would show "app \u2022 Streamlit").

\n", - "default": "the" - }, - { - "name": "page_icon", - "type_name": "Anything supported by st.image or str or None", - "is_optional": false, - "description": "

The page favicon.\nBesides the types supported by st.image (like URLs or numpy arrays),\nyou can pass in an emoji as a string ("\ud83e\udd88") or a shortcode (":shark:").\nIf you're feeling lucky, try "random" for a random emoji!\nEmoji icons are courtesy of Twemoji and loaded from MaxCDN.

\n", - "default": null - }, - { - "name": "layout", - "type_name": "\"centered\" or \"wide\"", - "is_optional": false, - "description": "

How the page content should be laid out. Defaults to "centered",\nwhich constrains the elements into a centered column of fixed width;\n"wide" uses the entire screen.

\n", - "default": "s" - }, - { - "name": "initial_sidebar_state", - "type_name": "\"auto\", \"expanded\", or \"collapsed\"", - "is_optional": false, - "description": "

How the sidebar should start out. Defaults to "auto",\nwhich hides the sidebar on mobile-sized devices, and shows it otherwise.\n"expanded" shows the sidebar initially; "collapsed" hides it.

\n", - "default": "s" - }, - { - "name": "menu_items", - "type_name": "dict", - "is_optional": false, - "description": "

Configure the menu that appears on the top-right side of this app.\nThe keys in this dict denote the menu item you'd like to configure:

\n
    \n
  • \n
    "Get help": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "Report a Bug": str or None
    \n
    The URL this menu item should point to.\nIf None, hides this menu item.
    \n
    \n
    • \n
  • \n
    "About": str or None
    \n
    A markdown string to show in the About dialog.\nIf None, only shows Streamlit's default About text.
    \n
    \n
    • \n
\n

The URL may also refer to an email address e.g. mailto:john@example.com.

\n", - "default": "About" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/commands/page_config.py#L114" - }, - "streamlit.slider": { - "name": "slider", - "signature": "st.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int, float, timedelta, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/slider.py#L172" - }, - "streamlit.snow": { - "name": "snow", - "signature": "st.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "

Draw celebratory snowfall.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/snow.py#L25" - }, - "streamlit.spinner": { - "name": "spinner", - "signature": "st.spinner(text=\"In progress...\")", - "example": "
\n
\nimport time\nimport streamlit as st\n\nwith st.spinner('Wait for it...'):\n    time.sleep(5)\nst.success('Done!')\n
\n
\n", - "description": "

Temporarily displays a message while executing a block of code.

\n", - "args": [ - { - "name": "text", - "type_name": "str", - "is_optional": false, - "description": "

A message to display while executing that block

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/spinner.py#L23" - }, - "streamlit.stop": { - "name": "stop", - "signature": "st.stop()", - "example": "
\n
\nimport streamlit as st\n\nname = st.text_input('Name')\nif not name:\n  st.warning('Please input a name.')\n  st.stop()\nst.success('Thank you for inputting a name.')\n
\n
\n", - "description": "

Stops execution immediately.

\n

Streamlit will not run any statements after st.stop().\nWe recommend rendering a message to explain why the script has stopped.\nWhen run outside of Streamlit, this will raise an Exception.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/commands/execution_control.py#L25" - }, - "streamlit.subheader": { - "name": "subheader", - "signature": "st.subheader(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in subheader formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the subheader.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/heading.py#L93" - }, - "streamlit.success": { - "name": "success", - "signature": "st.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "

Display a success message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/alert.py#L124" - }, - "streamlit.table": { - "name": "table", - "signature": "st.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L192" - }, - "streamlit.tabs": { - "name": "tabs", - "signature": "st.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/layouts.py#L203" - }, - "streamlit.text": { - "name": "text", - "signature": "st.text(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "

Write fixed-width and preformatted text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the text.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/text.py#L27" - }, - "streamlit.text_area": { - "name": "text_area", - "signature": "st.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "

Display a multi-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/text_widgets.py#L274" - }, - "streamlit.text_input": { - "name": "text_input", - "signature": "st.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", - "description": "

Display a single-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"default\" or \"password\"", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/text_widgets.py#L71" - }, - "streamlit.time_input": { - "name": "time_input", - "signature": "st.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", - "description": "

Display a time input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "step", - "type_name": "int or timedelta", - "is_optional": false, - "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", - "default": "900" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/time_widgets.py#L217" - }, - "streamlit.title": { - "name": "title", - "signature": "st.title(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the title.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/heading.py#L146" - }, - "streamlit.toast": { - "name": "toast", - "signature": "st.toast(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.toast('Your edited image was saved!', icon='\ud83d\ude0d')\n
\n
\n", - "description": "

Display a short message, known as a notification "toast".

\n

The toast appears in the app's bottom-right corner and disappears after four seconds.

\n
\n

Warning

\n

st.toast is not compatible with Streamlit's caching and\ncannot be called within a cached function.

\n
\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the toast. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/toast.py#L37" - }, - "streamlit.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "st.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "

Display a chart using the Vega-Lite library.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L545" - }, - "streamlit.video": { - "name": "video", - "signature": "st.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "

Display a video player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file", - "is_optional": false, - "description": "

Raw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/media.py#L115" - }, - "streamlit.warning": { - "name": "warning", - "signature": "st.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "

Display warning message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/alert.py#L59" - }, - "streamlit.write": { - "name": "write", - "signature": "st.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/write.py#L49" - }, - "streamlit.experimental_memo.clear": { - "name": "experimental_memo.clear", - "signature": "st.experimental_memo.clear()", - "description": "

Clear all in-memory and on-disk data caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/runtime/caching/cache_data_api.py#L587" - }, - "streamlit.cache_data.clear": { - "name": "cache_data.clear", - "signature": "st.cache_data.clear()", - "description": "

Clear all in-memory and on-disk data caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/runtime/caching/cache_data_api.py#L587" - }, - "streamlit.experimental_singleton.clear": { - "name": "experimental_singleton.clear", - "signature": "st.experimental_singleton.clear()", - "description": "

Clear all cache_resource caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/runtime/caching/cache_resource_api.py#L449" - }, - "streamlit.cache_resource.clear": { - "name": "cache_resource.clear", - "signature": "st.cache_resource.clear()", - "description": "

Clear all cache_resource caches.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/runtime/caching/cache_resource_api.py#L449" - }, - "streamlit.connections.ExperimentalBaseConnection": { - "name": "ExperimentalBaseConnection", - "signature": "st.connections.ExperimentalBaseConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/base_connection.py#L137" - } - ], - "properties": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/base_connection.py#L25", - "description": "

The abstract base class that all Streamlit Connections must inherit from.

\n

This base class provides connection authors with a standardized way to hook into the\nst.experimental_connection() factory function: connection authors are required to\nprovide an implementation for the abstract method _connect in their subclasses.

\n

Additionally, it also provides a few methods/properties designed to make\nimplementation of connections more convenient. See the docstrings for each of the\nmethods of this class for more information

\n
\n

Note

\n

While providing an implementation of _connect is technically all that's\nrequired to define a valid connection, connections should also provide the user\nwith context-specific ways of interacting with the underlying connection object.\nFor example, the first-party SQLConnection provides a query() method for\nreads and a session property for more complex operations.

\n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SQLConnection": { - "name": "SQLConnection", - "signature": "st.connections.SQLConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "query", - "signature": "st.connections.query.query(sql, *, ttl=None, index_col=None, chunksize=None, params=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners where owner = :owner", ttl=3600, params={"owner":"barbara"})\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only query.

", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None" - }, - { - "name": "index_col", - "type_name": "str, list of str, or None", - "is_optional": false, - "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", - "default": "None" - }, - { - "name": "chunksize", - "type_name": "int or None", - "is_optional": false, - "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", - "default": "None" - }, - { - "name": "params", - "type_name": "list, tuple, dict or None", - "is_optional": false, - "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", - "default": "None" - }, - { - "name": "**kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

Additional keyword arguments are passed to pd.read_sql.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/sql_connection.py#L121" - }, - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/base_connection.py#L137" - } - ], - "properties": [ - { - "name": "session", - "signature": "st.connections.session.session", - "example": "
\n
\nimport streamlit as st\nconn = st.experimental_connection("sql")\nn = st.slider("Pick a number")\nif st.button("Add the number!"):\n    with conn.session as session:\n        session.execute("INSERT INTO numbers (val) VALUES (:n);", {"n": n})\n        session.commit()\n
\n
\n", - "description": "

Return a SQLAlchemy Session.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/sql_connection.py#L226" - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/sql_connection.py#L45", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

A connection to a SQL database using a SQLAlchemy Engine. Initialize using st.experimental_connection("<name>", type="sql").

\n

SQLConnection provides the query() convenience method, which can be used to\nrun simple read-only queries with both caching and simple error handling/retries.\nMore complex DB interactions can be performed by using the .session property\nto receive a regular SQLAlchemy Session.

\n

SQLConnections should always be created using st.experimental_connection(),\nnot initialized directly. Connection parameters for a SQLConnection can be\nspecified using either st.secrets or **kwargs. Some frequently used\nparameters include:

\n
    \n
  • url or arguments for sqlalchemy.engine.URL.create().\nMost commonly it includes a dialect, host, database, username and password.
    • \n
  • create_engine_kwargs can be passed via st.secrets, such as for\nsnowflake-sqlalchemy\nor Google BigQuery.\nThese can also be passed directly as **kwargs to experimental_connection().
    • \n
  • autocommit=True to run with isolation level AUTOCOMMIT. Default is False.
    • \n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SnowparkConnection": { - "name": "SnowparkConnection", - "signature": "st.connections.SnowparkConnection(connection_name, **kwargs)", - "is_class": true, - "methods": [ - { - "name": "query", - "signature": "st.connections.query.query(sql, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only SQL query.

", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None" - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/snowpark_connection.py#L123" - }, - { - "name": "reset", - "signature": "st.connections.reset.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/base_connection.py#L137" - }, - { - "name": "safe_session", - "signature": "st.connections.safe_session.safe_session()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\nwith conn.safe_session() as session:\n    df = session.table("mytable").limit(10).to_pandas()\n\nst.dataframe(df)\n
\n
\n", - "description": "

Grab the underlying Snowpark session in a thread-safe manner.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/snowpark_connection.py#L207" - } - ], - "properties": [ - { - "name": "session", - "signature": "st.connections.session.session", - "example": "
\n
\nimport streamlit as st\n\nsession = st.experimental_connection("snowpark").session\ndf = session.table("mytable").limit(10).to_pandas()\nst.dataframe(df)\n
\n
\n", - "description": "

Access the underlying Snowpark session.

", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/snowpark_connection.py#L184" - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/snowpark_connection.py#L70", - "description": "

A connection to Snowpark using snowflake.snowpark.session.Session. Initialize using

\n

st.experimental_connection("<name>", type="snowpark").

\n

In addition to accessing the Snowpark Session, SnowparkConnection supports direct SQL querying using\nquery("...") and thread safe access using with conn.safe_session():. See methods\nbelow for more information. SnowparkConnections should always be created using\nst.experimental_connection(), not initialized directly.

\n
\n

Note

\n

We don't expect this iteration of SnowparkConnection to be able to scale\nwell in apps with many concurrent users due to the lock contention that will occur\nover the single underlying Session object under high load.

\n
\n", - "args": [], - "returns": [] - }, - "streamlit.connections.SQLConnection.query": { - "name": "query", - "signature": "SQLConnection.query(sql, *, ttl=None, index_col=None, chunksize=None, params=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("sql")\ndf = conn.query("select * from pet_owners where owner = :owner", ttl=3600, params={"owner":"barbara"})\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only query.

\n

This method implements both query result caching (with caching behavior\nidentical to that of using @st.cache_data) as well as simple error handling/retries.

\n
\n

Note

\n

Queries that are run without a specified ttl are cached indefinitely.

\n
\n

Aside from the ttl kwarg, all kwargs passed to this function are passed down\nto pd.read_sql\nand have the behavior described in the pandas documentation.

\n", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None" - }, - { - "name": "index_col", - "type_name": "str, list of str, or None", - "is_optional": false, - "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", - "default": "None" - }, - { - "name": "chunksize", - "type_name": "int or None", - "is_optional": false, - "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", - "default": "None" - }, - { - "name": "params", - "type_name": "list, tuple, dict or None", - "is_optional": false, - "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", - "default": "None" - }, - { - "name": "**kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

Additional keyword arguments are passed to pd.read_sql.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/sql_connection.py#L121" - }, - "streamlit.connections.SQLConnection.reset": { - "name": "reset", - "signature": "SQLConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.connections.SQLConnection.session": { - "name": "session", - "signature": "SQLConnection.session", - "example": "
\n
\nimport streamlit as st\nconn = st.experimental_connection("sql")\nn = st.slider("Pick a number")\nif st.button("Add the number!"):\n    with conn.session as session:\n        session.execute("INSERT INTO numbers (val) VALUES (:n);", {"n": n})\n        session.commit()\n
\n
\n", - "description": "

Return a SQLAlchemy Session.

\n

Users of this connection should use the contextmanager pattern for writes,\ntransactions, and anything more complex than simple read queries.

\n

See the usage example below, which assumes we have a table numbers with a\nsingle integer column val. The SQLAlchemy docs also contain\nmuch more information on the usage of sessions.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/sql_connection.py#L226" - }, - "streamlit.connections.SnowparkConnection.query": { - "name": "query", - "signature": "SnowparkConnection.query(sql, ttl=None)", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\ndf = conn.query("select * from pet_owners")\nst.dataframe(df)\n
\n
\n", - "description": "

Run a read-only SQL query.

\n

This method implements both query result caching (with caching behavior\nidentical to that of using @st.cache_data) as well as simple error handling/retries.

\n
\n

Note

\n

Queries that are run without a specified ttl are cached indefinitely.

\n
\n", - "args": [ - { - "name": "sql", - "type_name": "str", - "is_optional": false, - "description": "

The read-only SQL query to execute.

\n", - "default": null - }, - { - "name": "ttl", - "type_name": "float, int, timedelta or None", - "is_optional": false, - "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None" - } - ], - "returns": [ - { - "type_name": "pd.DataFrame", - "is_generator": false, - "description": "

The result of running the query, formatted as a pandas DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/snowpark_connection.py#L123" - }, - "streamlit.connections.SnowparkConnection.reset": { - "name": "reset", - "signature": "SnowparkConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.connections.SnowparkConnection.safe_session": { - "name": "safe_session", - "signature": "SnowparkConnection.safe_session()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("snowpark")\nwith conn.safe_session() as session:\n    df = session.table("mytable").limit(10).to_pandas()\n\nst.dataframe(df)\n
\n
\n", - "description": "

Grab the underlying Snowpark session in a thread-safe manner.

\n

As operations on a Snowpark session are not thread safe, we need to take care\nwhen using a session in the context of a Streamlit app where each script run\noccurs in its own thread. Using the contextmanager pattern to do this ensures\nthat access on this connection's underlying Session is done in a thread-safe\nmanner.

\n

Information on how to use Snowpark sessions can be found in the Snowpark documentation.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/snowpark_connection.py#L207" - }, - "streamlit.connections.SnowparkConnection.session": { - "name": "session", - "signature": "SnowparkConnection.session", - "example": "
\n
\nimport streamlit as st\n\nsession = st.experimental_connection("snowpark").session\ndf = session.table("mytable").limit(10).to_pandas()\nst.dataframe(df)\n
\n
\n", - "description": "

Access the underlying Snowpark session.

\n
\n

Note

\n

Snowpark sessions are not thread safe. Users of this method are\nresponsible for ensuring that access to the session returned by this method is\ndone in a thread-safe manner. For most users, we recommend using the thread-safe\nsafe_session() method and a with block.

\n
\n

Information on how to use Snowpark sessions can be found in the Snowpark documentation.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/snowpark_connection.py#L184" - }, - "streamlit.connections.ExperimentalBaseConnection.reset": { - "name": "reset", - "signature": "ExperimentalBaseConnection.reset()", - "example": "
\n
\nimport streamlit as st\n\nconn = st.experimental_connection("my_conn")\n\n# Reset the connection before using it if it isn't healthy\n# Note: is_healthy() isn't a real method and is just shown for example here.\nif not conn.is_healthy():\n    conn.reset()\n\n# Do stuff with conn...\n
\n
\n", - "description": "

Reset this connection so that it gets reinitialized the next time it's used.

\n

This method can be useful when a connection has become stale, an auth token has\nexpired, or in similar scenarios where a broken connection might be fixed by\nreinitializing it. Note that some connection methods may already use reset()\nin their error handling code.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/connections/base_connection.py#L137" - }, - "streamlit.column_config.BarChartColumn": { - "name": "BarChartColumn", - "signature": "st.column_config.BarChartColumn(label=None, *, width=None, help=None, y_min=None, y_max=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.BarChartColumn(\n            "Sales (last 6 months)",\n            help="The sales volume in the last 6 months",\n            y_min=0,\n            y_max=100,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a bar chart column in st.dataframe or st.data_editor.

\n

Cells need to contain a list of numbers. Chart columns are not editable\nat the moment. This command needs to be used in the column_config parameter\nof st.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "y_min", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value on the y-axis for all cells in the column.\nIf None (default), every cell will use the minimum of its data.

\n", - "default": null - }, - { - "name": "y_max", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum value on the y-axis for all cells in the column. If None (default),\nevery cell will use the maximum of its data.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L745" - }, - "streamlit.column_config.CheckboxColumn": { - "name": "CheckboxColumn", - "signature": "st.column_config.CheckboxColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n        "favorite": [True, False, False, True],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "favorite": st.column_config.CheckboxColumn(\n            "Your favorite?",\n            help="Select your **favorite** widgets",\n            default=False,\n        )\n    },\n    disabled=["widgets"],\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a checkbox column in st.dataframe or st.data_editor.

\n

This is the default column type for boolean values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" - }, - { - "name": "default", - "type_name": "bool or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L565" - }, - "streamlit.column_config.Column": { - "name": "Column", - "signature": "st.column_config.Column(label=None, *, width=None, help=None, disabled=None, required=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "widgets": st.column_config.Column(\n            "Streamlit Widgets",\n            help="Streamlit **widget** commands \ud83c\udf88",\n            width="medium",\n            required=True,\n        )\n    },\n    hide_index=True,\n    num_rows="dynamic",\n)\n
\n\n \n
\n", - "description": "

Configure a generic column in st.dataframe or st.data_editor.

\n

The type of the column will be automatically inferred from the data type.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor.

\n

To change the type of the column and enable type-specific configuration options,\nuse one of the column types in the st.column_config namespace,\ne.g. st.column_config.NumberColumn.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L187" - }, - "streamlit.column_config.DateColumn": { - "name": "DateColumn", - "signature": "st.column_config.DateColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", - "examples": "
\n
\nfrom datetime import date\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "birthday": [\n            date(1980, 1, 1),\n            date(1990, 5, 3),\n            date(1974, 5, 19),\n            date(2001, 8, 17),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "birthday": st.column_config.DateColumn(\n            "Birthday",\n            min_value=date(1900, 1, 1),\n            max_value=date(2005, 1, 1),\n            format="DD.MM.YYYY",\n            step=1,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a date column in st.dataframe or st.data_editor.

\n

This is the default column type for date values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor. When used\nwith st.data_editor, editing will be enabled with a date picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" - }, - { - "name": "default", - "type_name": "datetime.date or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A momentJS format string controlling how times are displayed. See\nmomentJS docs for available\nformats. If None (default), uses YYYY-MM-DD.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "datetime.date or None", - "is_optional": false, - "description": "

The minimum date that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "datetime.date or None", - "is_optional": false, - "description": "

The maximum date that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int or None", - "is_optional": false, - "description": "

The stepping interval in days. If None (default), the step will be 1 day.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L1277" - }, - "streamlit.column_config.DatetimeColumn": { - "name": "DatetimeColumn", - "signature": "st.column_config.DatetimeColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None, timezone=None)", - "examples": "
\n
\nfrom datetime import datetime\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "appointment": [\n            datetime(2024, 2, 5, 12, 30),\n            datetime(2023, 11, 10, 18, 0),\n            datetime(2024, 3, 11, 20, 10),\n            datetime(2023, 9, 12, 3, 0),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "appointment": st.column_config.DatetimeColumn(\n            "Appointment",\n            min_value=datetime(2023, 6, 1),\n            max_value=datetime(2025, 1, 1),\n            format="D MMM YYYY, h:mm a",\n            step=60,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a datetime column in st.dataframe or st.data_editor.

\n

This is the default column type for datetime values. This command needs to be\nused in the column_config parameter of st.dataframe or\nst.data_editor. When used with st.data_editor, editing will be enabled\nwith a datetime picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" - }, - { - "name": "default", - "type_name": "datetime.datetime or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A momentJS format string controlling how datetimes are displayed. See\nmomentJS docs for available\nformats. If None (default), uses YYYY-MM-DD HH:mm:ss.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "datetime.datetime or None", - "is_optional": false, - "description": "

The minimum datetime that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "datetime.datetime or None", - "is_optional": false, - "description": "

The maximum datetime that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int, float, datetime.timedelta, or None", - "is_optional": false, - "description": "

The stepping interval in seconds. If None (default), the step will be 1 second.

\n", - "default": null - }, - { - "name": "timezone", - "type_name": "str or None", - "is_optional": false, - "description": "

The timezone of this column. If None (default),\nthe timezone is inferred from the underlying data.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L1042" - }, - "streamlit.column_config.ImageColumn": { - "name": "ImageColumn", - "signature": "st.column_config.ImageColumn(label=None, *, width=None, help=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "apps": [\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/5435b8cb-6c6c-490b-9608-799b543655d3/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/ef9a7627-13f2-47e5-8f65-3f69bb38a5c2/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/31b99099-8eae-4ff8-aa89-042895ed3843/Home_Page.png",\n            "https://storage.googleapis.com/s4a-prod-share-preview/default/st_app_screenshot_image/6a399b09-241e-4ae7-a31f-7640dc1d181e/Home_Page.png",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "apps": st.column_config.ImageColumn(\n            "Preview Image", help="Streamlit app preview screenshots"\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure an image column in st.dataframe or st.data_editor.

\n

The cell values need to be one of:

\n
    \n
  • A URL to fetch the image from. This can also be a relative URL of an image\ndeployed via static file serving.\nNote that you can NOT use an arbitrary local image if it is not available through\na public URL.
    • \n
  • A data URL containing an SVG XML like data:image/svg+xml;utf8,<svg xmlns=...</svg>.
    • \n
  • A data URL containing a Base64 encoded image like data:image/png;base64,iVBO....
    • \n
\n

Image columns are not editable at the moment. This command needs to be used in the\ncolumn_config parameter of st.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L906" - }, - "streamlit.column_config.LineChartColumn": { - "name": "LineChartColumn", - "signature": "st.column_config.LineChartColumn(label=None, *, width=None, help=None, y_min=None, y_max=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.LineChartColumn(\n            "Sales (last 6 months)",\n            width="medium",\n            help="The sales volume in the last 6 months",\n            y_min=0,\n            y_max=100,\n         ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a line chart column in st.dataframe or st.data_editor.

\n

Cells need to contain a list of numbers. Chart columns are not editable\nat the moment. This command needs to be used in the column_config parameter\nof st.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "y_min", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value on the y-axis for all cells in the column.\nIf None (default), every cell will use the minimum of its data.

\n", - "default": null - }, - { - "name": "y_max", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum value on the y-axis for all cells in the column. If None (default),\nevery cell will use the maximum of its data.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L825" - }, - "streamlit.column_config.LinkColumn": { - "name": "LinkColumn", - "signature": "st.column_config.LinkColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, max_chars=None, validate=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "apps": [\n            "https://roadmap.streamlit.app",\n            "https://extras.streamlit.app",\n            "https://issues.streamlit.app",\n            "https://30days.streamlit.app",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "apps": st.column_config.LinkColumn(\n            "Trending apps",\n            help="The top trending Streamlit apps",\n            validate="^https://[a-z]+\\.streamlit\\.app$",\n            max_chars=100,\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a link column in st.dataframe or st.data_editor.

\n

The cell values need to be string and will be shown as clickable links.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor. When used with st.data_editor, editing will be enabled\nwith a text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" - }, - { - "name": "default", - "type_name": "str or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of characters that can be entered. If None (default),\nthere will be no maximum.

\n", - "default": null - }, - { - "name": "validate", - "type_name": "str or None", - "is_optional": false, - "description": "

A regular expression (JS flavor, e.g. "^https://.+$") that edited values are validated against.\nIf the input is invalid, it will not be submitted.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L466" - }, - "streamlit.column_config.ListColumn": { - "name": "ListColumn", - "signature": "st.column_config.ListColumn(label=None, *, width=None, help=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [\n            [0, 4, 26, 80, 100, 40],\n            [80, 20, 80, 35, 40, 100],\n            [10, 20, 80, 80, 70, 0],\n            [10, 100, 20, 100, 30, 100],\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.ListColumn(\n            "Sales (last 6 months)",\n            help="The sales volume in the last 6 months",\n            width="medium",\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a list column in st.dataframe or st.data_editor.

\n

This is the default column type for list-like values. List columns are not editable\nat the moment. This command needs to be used in the column_config parameter of\nst.dataframe or st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L977" - }, - "streamlit.column_config.NumberColumn": { - "name": "NumberColumn", - "signature": "st.column_config.NumberColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "price": [20, 950, 250, 500],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "price": st.column_config.NumberColumn(\n            "Price (in USD)",\n            help="The price of the product in USD",\n            min_value=0,\n            max_value=1000,\n            step=1,\n            format="$%d",\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a number column in st.dataframe or st.data_editor.

\n

This is the default column type for integer and float values. This command needs to\nbe used in the column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a numeric input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" - }, - { - "name": "default", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how numbers are displayed.\nThis does not impact the return value. Valid formatters: %d %e %f %g %i %u.\nYou can also add prefixes and suffixes, e.g. "$ %.2f" to show a dollar prefix.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum value that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The stepping interval. Specifies the precision of numbers that can be entered.\nIf None (default), uses 1 for integers and unrestricted precision for floats.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L262" - }, - "streamlit.column_config.ProgressColumn": { - "name": "ProgressColumn", - "signature": "st.column_config.ProgressColumn(label=None, *, width=None, help=None, format=None, min_value=None, max_value=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "sales": [200, 550, 1000, 80],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "sales": st.column_config.ProgressColumn(\n            "Sales volume",\n            help="The sales volume in USD",\n            format="$%f",\n            min_value=0,\n            max_value=1000,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a progress column in st.dataframe or st.data_editor.

\n

Cells need to contain a number. Progress columns are not editable at the moment.\nThis command needs to be used in the column_config parameter of st.dataframe\nor st.data_editor.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how numbers are displayed.\nValid formatters: %d %e %f %g %i %u. You can also add prefixes and suffixes,\ne.g. "$ %.2f" to show a dollar prefix.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value of the progress bar.\nIf None (default), will be 0.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum value of the progress bar. If None (default), will be 100 for\ninteger values and 1 for float values.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L1390" - }, - "streamlit.column_config.SelectboxColumn": { - "name": "SelectboxColumn", - "signature": "st.column_config.SelectboxColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, options=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "category": [\n            "\ud83d\udcca Data Exploration",\n            "\ud83d\udcc8 Data Visualization",\n            "\ud83e\udd16 LLM",\n            "\ud83d\udcca Data Exploration",\n        ],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "category": st.column_config.SelectboxColumn(\n            "App Category",\n            help="The category of the app",\n            width="medium",\n            options=[\n                "\ud83d\udcca Data Exploration",\n                "\ud83d\udcc8 Data Visualization",\n                "\ud83e\udd16 LLM",\n            ],\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a selectbox column in st.dataframe or st.data_editor.

\n

This is the default column type for Pandas categorical values. This command needs to\nbe used in the column_config parameter of st.dataframe or st.data_editor.\nWhen used with st.data_editor, editing will be enabled with a selectbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" - }, - { - "name": "default", - "type_name": "str, int, float, bool, or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "options", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

The options that can be selected during editing. If None (default), this will be\ninferred from the underlying dataframe column if its dtype is \u201ccategory\u201d\n(see Pandas docs on categorical data).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L647" - }, - "streamlit.column_config.TextColumn": { - "name": "TextColumn", - "signature": "st.column_config.TextColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, max_chars=None, validate=None)", - "examples": "
\n
\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "widgets": ["st.selectbox", "st.number_input", "st.text_area", "st.button"],\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "widgets": st.column_config.TextColumn(\n            "Widgets",\n            help="Streamlit **widget** commands \ud83c\udf88",\n            default="st.",\n            max_chars=50,\n            validate="^st\\.[a-z_]+$",\n        )\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a text column in st.dataframe or st.data_editor.

\n

This is the default column type for string values. This command needs to be used in the\ncolumn_config parameter of st.dataframe or st.data_editor. When used with\nst.data_editor, editing will be enabled with a text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" - }, - { - "name": "default", - "type_name": "str or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of characters that can be entered. If None (default),\nthere will be no maximum.

\n", - "default": null - }, - { - "name": "validate", - "type_name": "str or None", - "is_optional": false, - "description": "

A regular expression (JS flavor, e.g. "^[a-z]+$") that edited values are validated against.\nIf the input is invalid, it will not be submitted.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L372" - }, - "streamlit.column_config.TimeColumn": { - "name": "TimeColumn", - "signature": "st.column_config.TimeColumn(label=None, *, width=None, help=None, disabled=None, required=None, default=None, format=None, min_value=None, max_value=None, step=None)", - "examples": "
\n
\nfrom datetime import time\nimport pandas as pd\nimport streamlit as st\n\ndata_df = pd.DataFrame(\n    {\n        "appointment": [\n            time(12, 30),\n            time(18, 0),\n            time(9, 10),\n            time(16, 25),\n        ]\n    }\n)\n\nst.data_editor(\n    data_df,\n    column_config={\n        "appointment": st.column_config.TimeColumn(\n            "Appointment",\n            min_value=time(8, 0, 0),\n            max_value=time(19, 0, 0),\n            format="hh:mm a",\n            step=60,\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Configure a time column in st.dataframe or st.data_editor.

\n

This is the default column type for time values. This command needs to be used in\nthe column_config parameter of st.dataframe or st.data_editor. When\nused with st.data_editor, editing will be enabled with a time picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str or None", - "is_optional": false, - "description": "

The label shown at the top of the column. If None (default),\nthe column name is used.

\n", - "default": null - }, - { - "name": "width", - "type_name": "\"small\", \"medium\", \"large\", or None", - "is_optional": false, - "description": "

The display width of the column. Can be one of \u201csmall\u201d, \u201cmedium\u201d, or \u201clarge\u201d.\nIf None (default), the column will be sized to fit the cell contents.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when hovering over the column label.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" - }, - { - "name": "required", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" - }, - { - "name": "default", - "type_name": "datetime.time or None", - "is_optional": false, - "description": "

Specifies the default value in this column when a new row is added by the user.

\n", - "default": "value" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A momentJS format string controlling how times are displayed. See\nmomentJS docs for available\nformats. If None (default), uses HH:mm:ss.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "datetime.time or None", - "is_optional": false, - "description": "

The minimum time that can be entered.\nIf None (default), there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "datetime.time or None", - "is_optional": false, - "description": "

The maximum time that can be entered.\nIf None (default), there will be no maximum.

\n", - "default": null - }, - { - "name": "step", - "type_name": "int, float, datetime.timedelta, or None", - "is_optional": false, - "description": "

The stepping interval in seconds. If None (default), the step will be 1 second.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/lib/column_types.py#L1163" - }, - "streamlit.components.v1.declare_component": { - "name": "declare_component", - "signature": "st.components.v1.declare_component(name, path=None, url=None)", - "description": "

Create and register a custom component.

\n", - "args": [ - { - "name": "name", - "type_name": "str", - "is_optional": false, - "description": "

A short, descriptive name for the component. Like, "slider".

\n", - "default": null - }, - { - "name": "path", - "type_name": "str or None", - "is_optional": false, - "description": "

The path to serve the component's frontend files from. Either\npath or url must be specified, but not both.

\n", - "default": null - }, - { - "name": "url", - "type_name": "str or None", - "is_optional": false, - "description": "

The URL that the component is served from. Either path or url\nmust be specified, but not both.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "CustomComponent", - "is_generator": false, - "description": "

A CustomComponent that can be called like a function.\nCalling the component will create a new instance of the component\nin the Streamlit app.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/components/v1/components.py#L246" - }, - "streamlit.components.v1.html": { - "name": "html", - "signature": "st.components.v1.html(html, width=None, height=None, scrolling=False)", - "description": "

Display an HTML string in an iframe.

\n", - "args": [ - { - "name": "html", - "type_name": "str", - "is_optional": false, - "description": "

The HTML string to embed in the iframe.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/iframe.py#L59" - }, - "streamlit.components.v1.iframe": { - "name": "iframe", - "signature": "st.components.v1.iframe(src, width=None, height=None, scrolling=False)", - "description": "

Load a remote URL in an iframe.

\n", - "args": [ - { - "name": "src", - "type_name": "str", - "is_optional": false, - "description": "

The URL of the page to embed.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The width of the frame in CSS pixels. Defaults to the app's\ndefault element width.

\n", - "default": "the" - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" - }, - { - "name": "scrolling", - "type_name": "bool", - "is_optional": false, - "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/iframe.py#L25" - }, - "DeltaGenerator.add_rows": { - "name": "add_rows", - "signature": "element.add_rows(data=None, **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf1 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table = st.table(df1)\n\ndf2 = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nmy_table.add_rows(df2)\n# Now the table shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

You can do the same thing with plots. For example, if you want to add\nmore data to a line chart:

\n
\n# Assuming df1 and df2 from the example above still exist...\nmy_chart = st.line_chart(df1)\nmy_chart.add_rows(df2)\n# Now the chart shown in the Streamlit app contains the data for\n# df1 followed by the data for df2.\n
\n

And for plots whose datasets are named, you can pass the data with a\nkeyword argument where the key is the name:

\n
\nmy_chart = st.vega_lite_chart({\n    'mark': 'line',\n    'encoding': {'x': 'a', 'y': 'b'},\n    'datasets': {\n      'some_fancy_name': df1,  # <-- named dataset\n     },\n    'data': {'name': 'some_fancy_name'},\n}),\nmy_chart.add_rows(some_fancy_name=df2)  # <-- name used as keyword\n
\n
\n", - "description": "

Concatenate a dataframe to the bottom of the current one.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, Iterable, dict, or None", - "is_optional": false, - "description": "

Table to concat. Optional.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "**kwargs", - "type_name": "pandas.DataFrame, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

The named dataset to concat. Optional. You can only pass in 1\ndataset (including the one in the data parameter).

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L620" - }, - "DeltaGenerator.altair_chart": { - "name": "altair_chart", - "signature": "element.altair_chart(altair_chart, use_container_width=False, theme=\"streamlit\")", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(chart_data).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.altair_chart(c, use_container_width=True)\n
\n

Examples of Altair charts can be found at\nhttps://altair-viz.github.io/gallery/.

\n\n \n
\n", - "description": "

Display a chart using the Altair library.

\n", - "args": [ - { - "name": "altair_chart", - "type_name": "altair.Chart", - "is_optional": false, - "description": "

The Altair chart object to display.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Altair's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L492" - }, - "DeltaGenerator.area_chart": { - "name": "area_chart", - "signature": "element.area_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.area_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display an area chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.area_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L317" - }, - "DeltaGenerator.audio": { - "name": "audio", - "signature": "element.audio(data, format=\"audio/wav\", start_time=0, *, sample_rate=None)", - "example": "
\n
\nimport streamlit as st\nimport numpy as np\n\naudio_file = open('myaudio.ogg', 'rb')\naudio_bytes = audio_file.read()\n\nst.audio(audio_bytes, format='audio/ogg')\n\nsample_rate = 44100  # 44100 samples per second\nseconds = 2  # Note duration of 2 seconds\nfrequency_la = 440  # Our played note will be 440 Hz\n# Generate array with seconds*sample_rate steps, ranging between 0 and seconds\nt = np.linspace(0, seconds, seconds * sample_rate, False)\n# Generate a 440 Hz sine wave\nnote_la = np.sin(frequency_la * t * 2 * np.pi)\n\nst.audio(note_la, sample_rate=sample_rate)\n
\n\n \n
\n", - "description": "

Display an audio player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file", - "is_optional": false, - "description": "

Raw audio data, filename, or a URL pointing to the file to load.\nRaw data formats must include all necessary file headers to match the file\nformat specified via format.\nIf data is a numpy array, it must either be a 1D array of the waveform\nor a 2D array of shape (num_channels, num_samples) with waveforms\nfor all channels. See the default channel order at\nhttp://msdn.microsoft.com/en-us/library/windows/hardware/dn653308(v=vs.85).aspx

\n", - "default": "channel" - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the audio file. Defaults to 'audio/wav'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - }, - { - "name": "sample_rate", - "type_name": "int or None", - "is_optional": false, - "description": "

The sample rate of the audio data in samples per second. Only required if\ndata is a numpy array.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/media.py#L42" - }, - "DeltaGenerator.balloons": { - "name": "balloons", - "signature": "element.balloons()", - "example": "
\n
\nimport streamlit as st\n\nst.balloons()\n
\n

...then watch your app and get ready for a celebration!

\n
\n", - "description": "

Draw celebratory balloons.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/balloons.py#L25" - }, - "DeltaGenerator.bar_chart": { - "name": "bar_chart", - "signature": "element.bar_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=["a", "b", "c"])\n\nst.bar_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a bar chart.

\n

This is just syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.bar_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, or dict", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L404" - }, - "DeltaGenerator.bokeh_chart": { - "name": "bokeh_chart", - "signature": "element.bokeh_chart(figure, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nfrom bokeh.plotting import figure\n\nx = [1, 2, 3, 4, 5]\ny = [6, 7, 2, 4, 5]\n\np = figure(\n    title='simple line example',\n    x_axis_label='x',\n    y_axis_label='y')\n\np.line(x, y, legend_label='Trend', line_width=2)\n\nst.bokeh_chart(p, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Bokeh chart.

\n

Bokeh is a charting library for Python. The arguments to this function\nclosely follow the ones for Bokeh's show function. You can find\nmore about Bokeh at https://bokeh.pydata.org.

\n

To show Bokeh charts in Streamlit, call st.bokeh_chart\nwherever you would call Bokeh's show.

\n", - "args": [ - { - "name": "figure", - "type_name": "bokeh.plotting.figure.Figure", - "is_optional": false, - "description": "

A Bokeh figure to plot.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Bokeh's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/bokeh_chart.py#L36" - }, - "DeltaGenerator.button": { - "name": "button", - "signature": "element.button(label, key=None, help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\n\nif st.button('Say hello'):\n    st.write('Why hello there')\nelse:\n    st.write('Goodbye')\n
\n\n \n
\n", - "description": "

Display a button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/button.py#L61" - }, - "DeltaGenerator.camera_input": { - "name": "camera_input", - "signature": "element.camera_input(label, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\npicture = st.camera_input("Take a picture")\n\nif picture:\n    st.image(picture)\n
\n
\n", - "description": "

Display a widget that returns pictures from the user's webcam.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this widget is used for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the camera input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this camera_input's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile", - "is_generator": false, - "description": "

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/camera_input.py#L109" - }, - "DeltaGenerator.caption": { - "name": "caption", - "signature": "element.caption(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.caption('This is a string that explains something above.')\nst.caption('A caption with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in small font.

\n

This should be used for captions, asides, footnotes, sidenotes, and\nother explanatory text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the caption.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/markdown.py#L132" - }, - "DeltaGenerator.chat_input": { - "name": "chat_input", - "signature": "element.chat_input(placeholder=\"Your message\", *, key=None, max_chars=None, disabled=False, on_submit=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\n\nprompt = st.chat_input("Say something")\nif prompt:\n    st.write(f"User has sent the following prompt: {prompt}")\n
\n\n \n
\n", - "description": "

Display a chat input widget.

\n
\n

Warning

\n

Chat input can only be used once per app page and inside the main area of the app.\nIt cannot be used in the sidebar, columns, expanders, forms or tabs.\nWe plan to support this in the future.

\n
\n", - "args": [ - { - "name": "placeholder", - "type_name": "str", - "is_optional": false, - "description": "

A placeholder text shown when the chat input is empty. Defaults to\n"Your message". For accessibility reasons, you should not use an\nempty string.

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget based on\nits content. Multiple widgets of the same type may not share the same key.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

The maximum number of characters that can be entered. If None\n(default), there will be no maximum.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

Whether the chat input should be disabled. Defaults to False.

\n", - "default": "False" - }, - { - "name": "on_submit", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when the chat input's value is submitted.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "str or None", - "is_generator": false, - "description": "

The current (non-empty) value of the text input widget on the last\nrun of the app, None otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/chat.py#L208" - }, - "DeltaGenerator.chat_message": { - "name": "chat_message", - "signature": "element.chat_message(name, *, avatar=None)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\nimport numpy as np\n\nwith st.chat_message("user"):\n    st.write("Hello \ud83d\udc4b")\n    st.line_chart(np.random.randn(30, 3))\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\nmessage = st.chat_message("assistant")\nmessage.write("Hello human")\nmessage.bar_chart(np.random.randn(30, 3))\n
\n\n \n
\n", - "description": "

Insert a chat message container.

\n

To add elements to the returned container, you can use with notation\n(preferred) or just call methods directly on the returned object. See the\nexamples below.

\n", - "args": [ - { - "name": "name", - "type_name": "\"user\", \"assistant\", or str", - "is_optional": false, - "description": "

The name of the message author. Can be \u201cuser\u201d or \u201cassistant\u201d to\nenable preset styling and avatars.

\n

Currently, the name is not shown in the UI but is only set as an\naccessibility label. For accessibility reasons, you should not use\nan empty string.

\n", - "default": null - }, - { - "name": "avatar", - "type_name": "str, numpy.ndarray, or BytesIO", - "is_optional": false, - "description": "

The avatar shown next to the message. Can be one of:

\n
    \n
  • A single emoji, e.g. "\ud83e\uddd1\u200d\ud83d\udcbb", "\ud83e\udd16", "\ud83e\udd96". Shortcodes are not supported.
    • \n
  • \n
    An image using one of the formats allowed for st.image: path of a local
    \n
    image file; URL to fetch the image from; array of shape (w,h) or (w,h,1)\nfor a monochrome image, (w,h,3) for a color image, or (w,h,4) for an RGBA image.
    \n
    \n
    • \n
\n

If None (default), uses default icons if name is "user" or\n"assistant", or the first letter of the name value.

\n", - "default": "icons" - } - ], - "returns": [ - { - "type_name": "Container", - "is_generator": false, - "description": "

A single container that can hold multiple elements.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/chat.py#L112" - }, - "DeltaGenerator.checkbox": { - "name": "checkbox", - "signature": "element.checkbox(label, value=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nagree = st.checkbox('I agree')\n\nif agree:\n    st.write('Great!')\n
\n\n \n
\n", - "description": "

Display a checkbox widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this checkbox is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "bool", - "is_optional": false, - "description": "

Preselect the checkbox when it first renders. This will be\ncast to bool internally.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the checkbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this checkbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

Whether or not the checkbox is checked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/checkbox.py#L52" - }, - "DeltaGenerator.code": { - "name": "code", - "signature": "element.code(body, language=\"python\", line_numbers=False)", - "example": "
\n
\nimport streamlit as st\n\ncode = '''def hello():\n    print("Hello, Streamlit!")'''\nst.code(code, language='python')\n
\n
\n", - "description": "

Display a code block with optional syntax highlighting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as code.

\n", - "default": null - }, - { - "name": "language", - "type_name": "str or None", - "is_optional": false, - "description": "

The language that the code is written in, for syntax highlighting.\nIf None, the code will be unstyled. Defaults to "python".

\n

For a list of available language values, see:

\n

https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_PRISM.MD

\n", - "default": "s" - }, - { - "name": "line_numbers", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean indicating whether to show line numbers to the\nleft of the code block. Defaults to False.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/code.py#L27" - }, - "DeltaGenerator.color_picker": { - "name": "color_picker", - "signature": "element.color_picker(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ncolor = st.color_picker('Pick A Color', '#00f900')\nst.write('The current color is', color)\n
\n\n \n
\n", - "description": "

Display a color picker widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "str", - "is_optional": false, - "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the color picker.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this color_picker's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn\u2019t show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The selected color as a hex string.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/color_picker.py#L52" - }, - "DeltaGenerator.columns": { - "name": "columns", - "signature": "element.columns(spec, *, gap=\"small\")", - "examples": "
\n

You can use with notation to insert any element into a column:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\n\nwith col1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg")\n\nwith col2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg")\n\nwith col3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ncol1, col2 = st.columns([3, 1])\ndata = np.random.randn(10, 1)\n\ncol1.subheader("A wide column with a chart")\ncol1.line_chart(data)\n\ncol2.subheader("A narrow column with the data")\ncol2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers laid out as side-by-side columns.

\n

Inserts a number of multi-element containers laid out side-by-side and\nreturns a list of container objects.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n

Columns can only be placed inside other columns up to one level of nesting.

\n
\n

Warning

\n

Columns cannot be placed inside other columns in the sidebar. This is only possible in the main area of the app.

\n
\n", - "args": [ - { - "name": "spec", - "type_name": "int or iterable of numbers", - "is_optional": false, - "description": "

Controls the number and width of columns to insert. Can be one of:

\n
    \n
  • An integer that specifies the number of columns. All columns have equal\nwidth in this case.
    • \n
  • An iterable of numbers (int or float) that specify the relative width of\neach column. E.g. [0.7, 0.3] creates two columns where the first\none takes up 70% of the available with and the second one takes up 30%.\nOr [1, 2, 3] creates three columns where the second one is two times\nthe width of the first one, and the third one is three times that width.
    • \n
\n", - "default": null - }, - { - "name": "gap", - "type_name": "\"small\", \"medium\", or \"large\"", - "is_optional": false, - "description": "

The size of the gap between the columns. Defaults to "small". This\nargument can only be supplied by keyword.

\n", - "default": "s" - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/layouts.py#L75" - }, - "DeltaGenerator.container": { - "name": "container", - "signature": "element.container()", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.container():\n   st.write("This is inside the container")\n\n   # You can call any Streamlit command, including custom components:\n   st.bar_chart(np.random.randn(50, 3))\n\nst.write("This is outside the container")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\ncontainer = st.container()\ncontainer.write("This is inside the container")\nst.write("This is outside the container")\n\n# Now insert some more in the container\ncontainer.write("This is inside too")\n
\n\n \n
\n", - "description": "

Insert a multi-element container.

\n

Inserts an invisible container into your app that can be used to hold\nmultiple elements. This allows you to, for example, insert multiple\nelements into your app out of order.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/layouts.py#L27" - }, - "DeltaGenerator.data_editor": { - "name": "data_editor", - "signature": "element.data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n
    \n
  • Styles from pandas.Styler will only be applied to non-editable columns.
    • \n
  • Mixing data types within a column can make the column uneditable.
    • \n
  • Additionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.
    • \n
\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False" - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/data_editor.py#L528" - }, - "DeltaGenerator.dataframe": { - "name": "dataframe", - "signature": "element.dataframe(data=None, width=None, height=None, *, use_container_width=False, hide_index=None, column_order=None, column_config=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(50, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df)  # Same as st.write(df)\n
\n\n \n

You can also pass a Pandas Styler object to change the style of\nthe rendered DataFrame:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 20),\n   columns=('col %d' % i for i in range(20)))\n\nst.dataframe(df.style.highlight_max(axis=0))\n
\n\n \n

Or you can customize the dataframe via column_config, hide_index, or column_order:

\n
\nimport random\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    {\n        "name": ["Roadmap", "Extras", "Issues"],\n        "url": ["https://roadmap.streamlit.app", "https://extras.streamlit.app", "https://issues.streamlit.app"],\n        "stars": [random.randint(0, 1000) for _ in range(3)],\n        "views_history": [[random.randint(0, 5000) for _ in range(30)] for _ in range(3)],\n    }\n)\nst.dataframe(\n    df,\n    column_config={\n        "name": "App name",\n        "stars": st.column_config.NumberColumn(\n            "Github Stars",\n            help="Number of stars on GitHub",\n            format="%d \u2b50",\n        ),\n        "url": st.column_config.LinkColumn("App URL"),\n        "views_history": st.column_config.LineChartColumn(\n            "Views (past 30 days)", y_min=0, y_max=5000\n        ),\n    },\n    hide_index=True,\n)\n
\n\n \n
\n", - "description": "

Display a dataframe as an interactive table.

\n

This command works with dataframes from Pandas, PyArrow, Snowpark, and PySpark.\nIt can also display several other types that can be converted to dataframes,\ne.g. numpy arrays, lists, sets and dictionaries.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to display.

\n

If 'data' is a pandas.Styler, it will be used to style its\nunderlying DataFrame. Streamlit supports custom cell\nvalues and colors. It does not support some of the more exotic\npandas styling features, like bar charts, hovering, and captions.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the dataframe expressed in pixels. If None, the width\nwill be automatically calculated based on the column content.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the dataframe expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the dataframe width to the width of the parent container.\nThis takes precedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat. This needs to be a dictionary where each key is a column name and\nthe value is one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L43" - }, - "DeltaGenerator.date_input": { - "name": "date_input", - "signature": "element.date_input(label, value=None, min_value=None, max_value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, format=\"YYYY/MM/DD\", disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport datetime\nimport streamlit as st\n\nd = st.date_input("When's your birthday", datetime.date(2019, 7, 6))\nst.write('Your birthday is:', d)\n
\n\n \n 
\nimport datetime\nimport streamlit as st\n\ntoday = datetime.datetime.now()\nnext_year = today.year + 1\njan_1 = datetime.date(next_year, 1, 1)\ndec_31 = datetime.date(next_year, 12, 31)\n\nd = st.date_input(\n    "Select your vacation for next year",\n    (jan_1, datetime.date(next_year, 1, 7)),\n    jan_1,\n    dec_31,\n    format="MM.DD.YYYY",\n)\nd\n
\n\n \n
\n", - "description": "

Display a date input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this date input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.date or datetime.datetime or list/tuple of datetime.date or datetime.datetime or None", - "is_optional": false, - "description": "

The value of this widget when it first renders. If a list/tuple with\n0 to 2 date/datetime values is provided, the datepicker will allow\nusers to provide a range. Defaults to today as a single-date picker.

\n", - "default": "today" - }, - { - "name": "min_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The minimum selectable date. If value is a date, defaults to value - 10 years.\nIf value is the interval [start, end], defaults to start - 10 years.

\n", - "default": "value" - }, - { - "name": "max_value", - "type_name": "datetime.date or datetime.datetime", - "is_optional": false, - "description": "

The maximum selectable date. If value is a date, defaults to value + 10 years.\nIf value is the interval [start, end], defaults to end + 10 years.

\n", - "default": "value" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this date_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

A format string controlling how the interface should display dates.\nSupports \u201cYYYY/MM/DD\u201d (default), \u201cDD/MM/YYYY\u201d, or \u201cMM/DD/YYYY\u201d.\nYou may also use a period (.) or hyphen (-) as separators.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "datetime.date or a tuple with 0-2 dates", - "is_generator": false, - "description": "

The current value of the date input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/time_widgets.py#L402" - }, - "DeltaGenerator.dg": { - "name": "dg", - "signature": "element.dg", - "description": "

Get our DeltaGenerator.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/alert.py#L156" - }, - "DeltaGenerator.divider": { - "name": "divider", - "signature": "element.divider()", - "example": "
\n
\nimport streamlit as st\n\nst.divider()\n
\n
\n", - "description": "

Display a horizontal rule.

\n
\n

Note

\n

You can achieve the same effect with st.write("---") or\neven just "---" in your script (via magic).

\n
\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/markdown.py#L244" - }, - "DeltaGenerator.download_button": { - "name": "download_button", - "signature": "element.download_button(label, data, file_name=None, mime=None, key=None, help=None, on_click=None, args=None, kwargs=None, *, disabled=False, use_container_width=False)", - "examples": "
\n

Download a large DataFrame as a CSV:

\n
\nimport streamlit as st\n\n@st.cache\ndef convert_df(df):\n    # IMPORTANT: Cache the conversion to prevent computation on every rerun\n    return df.to_csv().encode('utf-8')\n\ncsv = convert_df(my_large_df)\n\nst.download_button(\n    label="Download data as CSV",\n    data=csv,\n    file_name='large_df.csv',\n    mime='text/csv',\n)\n
\n

Download a string as a file:

\n
\nimport streamlit as st\n\ntext_contents = '''This is some text'''\nst.download_button('Download some text', text_contents)\n
\n

Download a binary file:

\n
\nimport streamlit as st\n\nbinary_contents = b'example content'\n# Defaults to 'application/octet-stream'\nst.download_button('Download binary file', binary_contents)\n
\n

Download an image:

\n
\nimport streamlit as st\n\nwith open("flower.png", "rb") as file:\n    btn = st.download_button(\n            label="Download image",\n            data=file,\n            file_name="flower.png",\n            mime="image/png"\n          )\n
\n\n \n
\n", - "description": "

Display a download button widget.

\n

This is useful when you would like to provide a way for your users\nto download a file directly from your app.

\n

Note that the data to be downloaded is stored in-memory while the\nuser is connected, so it's a good idea to keep file sizes under a\ncouple hundred megabytes to conserve memory.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, and Emojis.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "data", - "type_name": "str or bytes or file", - "is_optional": false, - "description": "

The contents of the file to be downloaded. See example below for\ncaching techniques to avoid recomputing this data unnecessarily.

\n", - "default": null - }, - { - "name": "file_name", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the name of the file to be downloaded,\nsuch as 'my_file.csv'. If not specified, the name will be\nautomatically generated.

\n", - "default": null - }, - { - "name": "mime", - "type_name": "str or None", - "is_optional": false, - "description": "

The MIME type of the data. If None, defaults to "text/plain"\n(if data is of type str or is a textual file) or\n"application/octet-stream" (if data is of type bytes or is a\nbinary file).

\n", - "default": "s" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed when the button is\nhovered over.

\n", - "default": null - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked on the last run of the app,\nFalse otherwise.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/button.py#L169" - }, - "DeltaGenerator.empty": { - "name": "empty", - "signature": "element.empty()", - "examples": "
\n

Overwriting elements in-place using "with" notation:

\n
\nimport streamlit as st\nimport time\n\nwith st.empty():\n    for seconds in range(60):\n        st.write(f"\u23f3 {seconds} seconds have passed")\n        time.sleep(1)\n    st.write("\u2714\ufe0f 1 minute over!")\n
\n

Replacing several elements, then clearing them:

\n
\nimport streamlit as st\n\nplaceholder = st.empty()\n\n# Replace the placeholder with some text:\nplaceholder.text("Hello")\n\n# Replace the text with a chart:\nplaceholder.line_chart({"data": [1, 5, 2, 6]})\n\n# Replace the chart with several elements:\nwith placeholder.container():\n    st.write("This is one element")\n    st.write("This is another")\n\n# Clear all those elements:\nplaceholder.empty()\n
\n
\n", - "description": "

Insert a single-element container.

\n

Inserts a container into your app that can be used to hold a single element.\nThis allows you to, for example, remove elements at any point, or replace\nseveral elements at once (using a child multi-element container).

\n

To insert/replace/clear an element on the returned container, you can\nuse "with" notation or just call methods directly on the returned object.\nSee examples below.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/empty.py#L24" - }, - "DeltaGenerator.error": { - "name": "error", - "signature": "element.error(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.error('This is an error', icon="\ud83d\udea8")\n
\n
\n", - "description": "

Display error message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The error text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/alert.py#L27" - }, - "DeltaGenerator.exception": { - "name": "exception", - "signature": "element.exception(exception)", - "example": "
\n
\nimport streamlit as st\n\ne = RuntimeError('This is an exception of type RuntimeError')\nst.exception(e)\n
\n
\n", - "description": "

Display an exception.

\n", - "args": [ - { - "name": "exception", - "type_name": "Exception", - "is_optional": false, - "description": "

The exception to display.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/exception.py#L50" - }, - "DeltaGenerator.expander": { - "name": "expander", - "signature": "element.expander(label, expanded=False)", - "examples": "
\n

You can use with notation to insert any element into an expander

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nwith st.expander("See explanation"):\n    st.write(\\"\\"\\"\n        The chart above shows some numbers I picked for you.\n        I rolled actual dice for these, so they're *guaranteed* to\n        be random.\n    \\"\\"\\")\n    st.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\n\nst.bar_chart({"data": [1, 5, 2, 6, 2, 1]})\n\nexpander = st.expander("See explanation")\nexpander.write(\\"\\"\\"\n    The chart above shows some numbers I picked for you.\n    I rolled actual dice for these, so they're *guaranteed* to\n    be random.\n\\"\\"\\")\nexpander.image("https://static.streamlit.io/examples/dice.jpg")\n
\n\n \n
\n", - "description": "

Insert a multi-element container that can be expanded/collapsed.

\n

Inserts a container into your app that can be used to hold multiple elements\nand can be expanded or collapsed by the user. When collapsed, all that is\nvisible is the provided label.

\n

To add elements to the returned container, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

Currently, you may not put expanders inside another expander.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A string to use as the header for the expander. The label can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

If True, initializes the expander in "expanded" state. Defaults to\nFalse (collapsed).

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/layouts.py#L315" - }, - "DeltaGenerator.experimental_data_editor": { - "name": "experimental_data_editor", - "signature": "element.experimental_data_editor(data, *, width=None, height=None, use_container_width=False, hide_index=None, column_order=None, column_config=None, num_rows=\"fixed\", disabled=False, key=None, on_change=None, args=None, kwargs=None)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

You can also allow the user to add and delete rows by setting num_rows to "dynamic":

\n
\nimport streamlit as st\nimport pandas as pd\n\ndf = pd.DataFrame(\n    [\n       {"command": "st.selectbox", "rating": 4, "is_widget": True},\n       {"command": "st.balloons", "rating": 5, "is_widget": False},\n       {"command": "st.time_input", "rating": 3, "is_widget": True},\n   ]\n)\nedited_df = st.data_editor(df, num_rows="dynamic")\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n

Or you can customize the data editor via column_config, hide_index, column_order, or disabled:

\n
\nimport pandas as pd\nimport streamlit as st\n\ndf = pd.DataFrame(\n    [\n        {"command": "st.selectbox", "rating": 4, "is_widget": True},\n        {"command": "st.balloons", "rating": 5, "is_widget": False},\n        {"command": "st.time_input", "rating": 3, "is_widget": True},\n    ]\n)\nedited_df = st.data_editor(\n    df,\n    column_config={\n        "command": "Streamlit Command",\n        "rating": st.column_config.NumberColumn(\n            "Your rating",\n            help="How much do you like this command (1-5)?",\n            min_value=1,\n            max_value=5,\n            step=1,\n            format="%d \u2b50",\n        ),\n        "is_widget": "Widget ?",\n    },\n    disabled=["command", "is_widget"],\n    hide_index=True,\n)\n\nfavorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]\nst.markdown(f"Your favorite command is **{favorite_command}** \ud83c\udf88")\n
\n\n \n
\n", - "description": "

Display a data editor widget.

\n

The data editor widget allows you to edit dataframes and many other data structures in a table-like UI.

\n
\n

Warning

\n

When going from st.experimental_data_editor to st.data_editor in\n1.23.0, the data editor's representation in st.session_state was changed.\nThe edited_cells dictionary is now called edited_rows and uses a\ndifferent format ({0: {"column name": "edited value"}} instead of\n{"0:1": "edited value"}). You may need to adjust the code if your app uses\nst.experimental_data_editor in combination with st.session_state."

\n
\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Series, pandas.Styler, pandas.Index, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.DataFrame, list, set, tuple, dict, or None", - "is_optional": false, - "description": "

The data to edit in the data editor.

\n
\n

Note

\n
    \n
  • Styles from pandas.Styler will only be applied to non-editable columns.
    • \n
  • Mixing data types within a column can make the column uneditable.
    • \n
  • Additionally, the following data types are not yet supported for editing:\ncomplex, list, tuple, bytes, bytearray, memoryview, dict, set, frozenset,\ndatetime.timedelta, decimal.Decimal, fractions.Fraction, pandas.Interval,\npandas.Period, pandas.Timedelta.
    • \n
\n
\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired width of the data editor expressed in pixels. If None, the width will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the data editor expressed in pixels. If None, the height will\nbe automatically determined.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False" - }, - { - "name": "hide_index", - "type_name": "bool or None", - "is_optional": false, - "description": "

Whether to hide the index column(s). If None (default), the visibility of\nindex columns is automatically determined based on the data.

\n", - "default": null - }, - { - "name": "column_order", - "type_name": "iterable of str or None", - "is_optional": false, - "description": "

Specifies the display order of columns. This also affects which columns are\nvisible. For example, column_order=("col2", "col1") will display 'col2'\nfirst, followed by 'col1', and will hide all other non-index columns. If\nNone (default), the order is inherited from the original data structure.

\n", - "default": null - }, - { - "name": "column_config", - "type_name": "dict or None", - "is_optional": false, - "description": "

Configures how columns are displayed, e.g. their title, visibility, type, or\nformat, as well as editing properties such as min/max value or step.\nThis needs to be a dictionary where each key is a column name and the value\nis one of:

\n
    \n
  • None to hide the column.
    • \n
  • A string to set the display label of the column.
    • \n
  • One of the column types defined under st.column_config, e.g.\nst.column_config.NumberColumn("Dollar values\u201d, format=\u201d$ %d") to show\na column as dollar amounts. See more info on the available column types\nand config options here.
    • \n
\n

To configure the index column(s), use _index as the column name.

\n", - "default": null - }, - { - "name": "num_rows", - "type_name": "\"fixed\" or \"dynamic\"", - "is_optional": false, - "description": "

Specifies if the user can add and delete rows in the data editor.\nIf "fixed", the user cannot add or delete rows. If "dynamic", the user can\nadd and delete rows in the data editor, but column sorting is disabled.\nDefaults to "fixed".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool or iterable of str", - "is_optional": false, - "description": "

Controls the editing of columns. If True, editing is disabled for all columns.\nIf an iterable of column names is provided (e.g., disabled=("col1", "col2")),\nonly the specified columns will be disabled for editing. If False (default),\nall columns that support editing are editable.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

An optional string to use as the unique key for this widget. If this\nis omitted, a key will be generated for the widget based on its\ncontent. Multiple widgets of the same type may not share the same\nkey.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this data_editor's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "pandas.DataFrame, pandas.Series, pyarrow.Table, numpy.ndarray, list, set, tuple, or dict.", - "is_generator": false, - "description": "

The edited data. The edited data is returned in its original data type if\nit corresponds to any of the supported return types. All other data types\nare returned as a pd.DataFrame.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/data_editor.py#L528" - }, - "DeltaGenerator.file_uploader": { - "name": "file_uploader", - "signature": "element.file_uploader(label, type=None, accept_multiple_files=False, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n

Insert a file uploader that accepts a single file at a time:

\n
\nimport streamlit as st\nimport pandas as pd\nfrom io import StringIO\n\nuploaded_file = st.file_uploader("Choose a file")\nif uploaded_file is not None:\n    # To read file as bytes:\n    bytes_data = uploaded_file.getvalue()\n    st.write(bytes_data)\n\n    # To convert to a string based IO:\n    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))\n    st.write(stringio)\n\n    # To read file as string:\n    string_data = stringio.read()\n    st.write(string_data)\n\n    # Can be used wherever a "file-like" object is accepted:\n    dataframe = pd.read_csv(uploaded_file)\n    st.write(dataframe)\n
\n

Insert a file uploader that accepts multiple files at a time:

\n
\nimport streamlit as st\n\nuploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)\nfor uploaded_file in uploaded_files:\n    bytes_data = uploaded_file.read()\n    st.write("filename:", uploaded_file.name)\n    st.write(bytes_data)\n
\n\n \n
\n", - "description": "

Display a file uploader widget.

\n

By default, uploaded files are limited to 200MB. You can configure\nthis using the server.maxUploadSize config option. For more info\non how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this file uploader is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "type", - "type_name": "str or list of str or None", - "is_optional": false, - "description": "

Array of allowed extensions. ['png', 'jpg']\nThe default is None, which means all extensions are allowed.

\n", - "default": "None" - }, - { - "name": "accept_multiple_files", - "type_name": "bool", - "is_optional": false, - "description": "

If True, allows the user to upload multiple files at the same time,\nin which case the return value will be a list of files.\nDefault: False

\n", - "default": "False" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

A tooltip that gets displayed next to the file uploader.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this file_uploader's value\nchanges.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "None or UploadedFile or list of UploadedFile", - "is_generator": false, - "description": "
    \n
  • If accept_multiple_files is False, returns either None or\nan UploadedFile object.
    • \n
  • If accept_multiple_files is True, returns a list with the\nuploaded files as UploadedFile objects. If no files were\nuploaded, returns an empty list.
    • \n
\n

The UploadedFile class is a subclass of BytesIO, and therefore\nit is "file-like". This means you can pass them anywhere where\na file is expected.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/file_uploader.py#L214" - }, - "DeltaGenerator.form": { - "name": "form", - "signature": "element.form(key, clear_on_submit=False)", - "examples": "
\n

Inserting elements using "with" notation:

\n
\nimport streamlit as st\n\nwith st.form("my_form"):\n   st.write("Inside the form")\n   slider_val = st.slider("Form slider")\n   checkbox_val = st.checkbox("Form checkbox")\n\n   # Every form must have a submit button.\n   submitted = st.form_submit_button("Submit")\n   if submitted:\n       st.write("slider", slider_val, "checkbox", checkbox_val)\n\nst.write("Outside the form")\n
\n\n \n

Inserting elements out of order:

\n
\nimport streamlit as st\n\nform = st.form("my_form")\nform.slider("Inside the form")\nst.slider("Outside the form")\n\n# Now add a submit button to the form:\nform.form_submit_button("Submit")\n
\n\n \n
\n", - "description": "

Create a form that batches elements together with a "Submit" button.

\n

A form is a container that visually groups other elements and\nwidgets together, and contains a Submit button. When the form's\nSubmit button is pressed, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

To add elements to a form object, you can use "with" notation\n(preferred) or just call methods directly on the form. See\nexamples below.

\n

Forms have a few constraints:

\n
    \n
  • Every form must contain a st.form_submit_button.
    • \n
  • st.button and st.download_button cannot be added to a form.
    • \n
  • Forms can appear anywhere in your app (sidebar, columns, etc),\nbut they cannot be embedded inside other forms.
    • \n
  • Within a form, the only widget that can have a callback function is\nst.form_submit_button.
    • \n
\n", - "args": [ - { - "name": "key", - "type_name": "str", - "is_optional": false, - "description": "

A string that identifies the form. Each form must have its own\nkey. (This key is not displayed to the user in the interface.)

\n", - "default": null - }, - { - "name": "clear_on_submit", - "type_name": "bool", - "is_optional": false, - "description": "

If True, all widgets inside the form will be reset to their default\nvalues after the user presses the Submit button. Defaults to False.\n(Note that Custom Components are unaffected by this flag, and\nwill not be reset to their defaults on form submission.)

\n", - "default": "values" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/form.py#L118" - }, - "DeltaGenerator.form_submit_button": { - "name": "form_submit_button", - "signature": "element.form_submit_button(label=\"Submit\", help=None, on_click=None, args=None, kwargs=None, *, type=\"secondary\", disabled=False, use_container_width=False)", - "description": "

Display a form submit button.

\n

When this button is clicked, all widget values inside the form will be\nsent to Streamlit in a batch.

\n

Every form must have a form_submit_button. A form_submit_button\ncannot exist outside a form.

\n

For more information about forms, check out our\nblog post.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this button is for.\nDefaults to "Submit".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str or None", - "is_optional": false, - "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" - }, - { - "name": "on_click", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this button is clicked.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"secondary\" or \"primary\"", - "is_optional": false, - "description": "

An optional string that specifies the button type. Can be "primary" for a\nbutton with additional emphasis or "secondary" for a normal button. This\nargument can only be supplied by keyword. Defaults to "secondary".

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which makes the button stretch its width to match the parent container.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "bool", - "is_generator": false, - "description": "

True if the button was clicked.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/form.py#L218" - }, - "DeltaGenerator.graphviz_chart": { - "name": "graphviz_chart", - "signature": "element.graphviz_chart(figure_or_dot, use_container_width=False)", - "example": "
\n
\nimport streamlit as st\nimport graphviz\n\n# Create a graphlib graph object\ngraph = graphviz.Digraph()\ngraph.edge('run', 'intr')\ngraph.edge('intr', 'runbl')\ngraph.edge('runbl', 'run')\ngraph.edge('run', 'kernel')\ngraph.edge('kernel', 'zombie')\ngraph.edge('kernel', 'sleep')\ngraph.edge('kernel', 'runmem')\ngraph.edge('sleep', 'swap')\ngraph.edge('swap', 'runswap')\ngraph.edge('runswap', 'new')\ngraph.edge('runswap', 'runmem')\ngraph.edge('new', 'runmem')\ngraph.edge('sleep', 'runmem')\n\nst.graphviz_chart(graph)\n
\n

Or you can render the chart from the graph using GraphViz's Dot\nlanguage:

\n
\nst.graphviz_chart('''\n    digraph {\n        run -> intr\n        intr -> runbl\n        runbl -> run\n        run -> kernel\n        kernel -> zombie\n        kernel -> sleep\n        kernel -> runmem\n        sleep -> swap\n        swap -> runswap\n        runswap -> new\n        runswap -> runmem\n        new -> runmem\n        sleep -> runmem\n    }\n''')\n
\n\n \n
\n", - "description": "

Display a graph using the dagre-d3 library.

\n", - "args": [ - { - "name": "figure_or_dot", - "type_name": "graphviz.dot.Graph, graphviz.dot.Digraph, str", - "is_optional": false, - "description": "

The Graphlib graph object or dot string to display

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/graphviz_chart.py#L39" - }, - "DeltaGenerator.header": { - "name": "header", - "signature": "element.header(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.header('This is a header')\nst.header('A header with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in header formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the header.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/heading.py#L40" - }, - "DeltaGenerator.help": { - "name": "help", - "signature": "element.help(obj=)", - "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", - "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", - "args": [ - { - "name": "obj", - "type_name": "any", - "is_optional": false, - "description": "

The object whose information should be displayed. If left\nunspecified, this call will display help for Streamlit itself.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/doc_string.py#L48" - }, - "DeltaGenerator.id": { - "name": "id", - "signature": "element.id" - }, - "DeltaGenerator.image": { - "name": "image", - "signature": "element.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", - "example": "
\n
\nimport streamlit as st\nfrom PIL import Image\n\nimage = Image.open('sunrise.jpg')\n\nst.image(image, caption='Sunrise by the mountains')\n
\n\n \n
\n", - "description": "

Display an image or list of images.

\n", - "args": [ - { - "name": "image", - "type_name": "numpy.ndarray, [numpy.ndarray], BytesIO, str, or [str]", - "is_optional": false, - "description": "

Monochrome image of shape (w,h) or (w,h,1)\nOR a color image of shape (w,h,3)\nOR an RGBA image of shape (w,h,4)\nOR a URL to fetch the image from\nOR a path of a local image file\nOR an SVG XML string like <svg xmlns=...</svg>\nOR a list of one of the above, to display multiple images.

\n", - "default": null - }, - { - "name": "caption", - "type_name": "str or list of str", - "is_optional": false, - "description": "

Image caption. If displaying multiple images, caption should be a\nlist of captions (one for each image).

\n", - "default": null - }, - { - "name": "width", - "type_name": "int or None", - "is_optional": false, - "description": "

Image width. None means use the image width,\nbut do not exceed the width of the column.\nShould be set for SVG images, as they have no default image width.

\n", - "default": "image" - }, - { - "name": "use_column_width", - "type_name": "\"auto\", \"always\", \"never\", or bool", - "is_optional": false, - "description": "

If "auto", set the image's width to its natural size,\nbut do not exceed the width of the column.\nIf "always" or True, set the image's width to the column width.\nIf "never" or False, set the image's width to its natural size.\nNote: if set, use_column_width takes precedence over the width parameter.

\n", - "default": null - }, - { - "name": "clamp", - "type_name": "bool", - "is_optional": false, - "description": "

Clamp image pixel values to a valid range ([0-255] per channel).\nThis is only meaningful for byte array images; the parameter is\nignored for image URLs. If this is not set, and an image has an\nout-of-range value, an error will be thrown.

\n", - "default": null - }, - { - "name": "channels", - "type_name": "\"RGB\" or \"BGR\"", - "is_optional": false, - "description": "

If image is an nd.array, this parameter denotes the format used to\nrepresent color information. Defaults to "RGB", meaning\nimage[:, :, 0] is the red channel, image[:, :, 1] is green, and\nimage[:, :, 2] is blue. For images coming from libraries like\nOpenCV you should set this to "BGR", instead.

\n", - "default": "s" - }, - { - "name": "output_format", - "type_name": "\"JPEG\", \"PNG\", or \"auto\"", - "is_optional": false, - "description": "

This parameter specifies the format to use when transferring the\nimage data. Photos should use the JPEG format for lossy compression\nwhile diagrams should use the PNG format for lossless compression.\nDefaults to "auto" which identifies the compression type based\non the type and format of the image argument.

\n", - "default": "s" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/image.py#L88" - }, - "DeltaGenerator.info": { - "name": "info", - "signature": "element.info(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.info('This is a purely informational message', icon="\u2139\ufe0f")\n
\n
\n", - "description": "

Display an informational message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The info text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/alert.py#L91" - }, - "DeltaGenerator.json": { - "name": "json", - "signature": "element.json(body, *, expanded=True)", - "example": "
\n
\nimport streamlit as st\n\nst.json({\n    'foo': 'bar',\n    'baz': 'boz',\n    'stuff': [\n        'stuff 1',\n        'stuff 2',\n        'stuff 3',\n        'stuff 5',\n    ],\n})\n
\n\n \n
\n", - "description": "

Display object or string as a pretty-printed JSON string.

\n", - "args": [ - { - "name": "body", - "type_name": "object or str", - "is_optional": false, - "description": "

The object to print as JSON. All referenced objects should be\nserializable to JSON as well. If object is a string, we assume it\ncontains serialized JSON.

\n", - "default": null - }, - { - "name": "expanded", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/json.py#L35" - }, - "DeltaGenerator.latex": { - "name": "latex", - "signature": "element.latex(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.latex(r'''\n    a + ar + a r^2 + a r^3 + \\cdots + a r^{n-1} =\n    \\sum_{k=0}^{n-1} ar^k =\n    a \\left(\\frac{1-r^{n}}{1-r}\\right)\n    ''')\n
\n
\n", - "description": "

Display mathematical expressions formatted as LaTeX.

\n

Supported LaTeX functions are listed at\nhttps://katex.org/docs/supported.html.

\n", - "args": [ - { - "name": "body", - "type_name": "str or SymPy expression", - "is_optional": false, - "description": "

The string or SymPy expression to display as LaTeX. If str, it's\na good idea to use raw Python strings since LaTeX uses backslashes\na lot.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the LaTeX expression.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/markdown.py#L196" - }, - "DeltaGenerator.line_chart": { - "name": "line_chart", - "signature": "element.line_chart(data=None, *, x=None, y=None, width=0, height=0, use_container_width=True)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(20, 3),\n    columns=['a', 'b', 'c'])\n\nst.line_chart(chart_data)\n
\n\n \n
\n", - "description": "

Display a line chart.

\n

This is syntax-sugar around st.altair_chart. The main difference\nis this command uses the data's own column and indices to figure out\nthe chart's spec. As a result this is easier to use for many "just plot\nthis" scenarios, while being less customizable.

\n

If st.line_chart does not guess the data specification\ncorrectly, try specifying your desired chart using st.altair_chart.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict or None", - "is_optional": false, - "description": "

Data to be plotted.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "x", - "type_name": "str or None", - "is_optional": false, - "description": "

Column name to use for the x-axis. If None, uses the data index for the x-axis.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "y", - "type_name": "str, sequence of str, or None", - "is_optional": false, - "description": "

Column name(s) to use for the y-axis. If a sequence of strings, draws several series\non the same chart by melting your wide-format table into a long-format table behind\nthe scenes. If None, draws the data of all remaining columns as data series.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "width", - "type_name": "int", - "is_optional": false, - "description": "

The chart width in pixels. If 0, selects the width automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int", - "is_optional": false, - "description": "

The chart height in pixels. If 0, selects the height automatically.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L230" - }, - "DeltaGenerator.map": { - "name": "map", - "signature": "element.map(data=None, *, latitude=None, longitude=None, color=None, size=None, zoom=None, use_container_width=True)", - "examples": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n    columns=['lat', 'lon'])\n\nst.map(df)\n
\n\n \n

You can also customize the size and color of the datapoints:

\n
\nst.map(df, size=20, color='#0044ff')\n
\n

And finally, you can choose different columns to use for the latitude\nand longitude components, as well as set size and color of each\ndatapoint dynamically based on other columns:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame({\n    "col1": np.random.randn(1000) / 50 + 37.76,\n    "col2": np.random.randn(1000) / 50 + -122.4,\n    "col3": np.random.randn(1000) * 100,\n    "col4": np.random.rand(1000, 4).tolist(),\n})\n\nst.map(df,\n    latitude='col1',\n    longitude='col2',\n    size='col3',\n    color='col4')\n
\n\n \n
\n", - "description": "

Display a map with a scatterplot overlaid onto it.

\n

This is a wrapper around st.pydeck_chart to quickly create\nscatterplot charts on top of a map, with auto-centering and auto-zoom.

\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The data to be plotted.

\n", - "default": null - }, - { - "name": "latitude", - "type_name": "str or None", - "is_optional": false, - "description": "

The name of the column containing the latitude coordinates of\nthe datapoints in the chart. This argument can only be supplied\nby keyword.

\n

If None, the latitude data will come from any column named 'lat',\n'latitude', 'LAT', or 'LATITUDE'.

\n", - "default": null - }, - { - "name": "longitude", - "type_name": "str or None", - "is_optional": false, - "description": "

The name of the column containing the longitude coordinates of\nthe datapoints in the chart. This argument can only be supplied\nby keyword.

\n

If None, the longitude data will come from any column named 'lon',\n'longitude', 'LON', or 'LONGITUDE'.

\n", - "default": null - }, - { - "name": "color", - "type_name": "str or tuple or None", - "is_optional": false, - "description": "

The color of the circles representing each datapoint. This argument\ncan only be supplied by keyword.

\n

Can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
  • The name of the column to use for the color. Cells in this column\nshould contain colors represented as a hex string or color tuple,\nas described above.
    • \n
\n", - "default": "color" - }, - { - "name": "size", - "type_name": "str or float or None", - "is_optional": false, - "description": "

The size of the circles representing each point, in meters. This\nargument can only be supplied by keyword.

\n

This can be:

\n
    \n
  • None, to use the default size.
    • \n
  • A number like 100, to specify a single size to use for all\ndatapoints.
    • \n
  • The name of the column to use for the size. This allows each\ndatapoint to be represented by a circle of a different size.
    • \n
\n", - "default": "size" - }, - { - "name": "zoom", - "type_name": "int", - "is_optional": false, - "description": "

Zoom level as specified in\nhttps://wiki.openstreetmap.org/wiki/Zoom_levels.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the width argument.\nThis argument can only be supplied by keyword.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/map.py#L91" - }, - "DeltaGenerator.markdown": { - "name": "markdown", - "signature": "element.markdown(body, unsafe_allow_html=False, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.markdown('Streamlit is **_really_ cool**.')\nst.markdown("This text is :red[colored red], and this is **:blue[colored]** and bold.")\nst.markdown(":green[$\\sqrt{x^2+y^2}=1$] is a Pythagorean identity. :pencil:")\n
\n
\n", - "description": "

Display string formatted as Markdown.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

By default, any HTML tags found in the body will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write\nsecure HTML, so by using this argument you may be compromising your\nusers' security. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the Markdown.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/markdown.py#L31" - }, - "DeltaGenerator.metric": { - "name": "metric", - "signature": "element.metric(label, value, delta=None, delta_color=\"normal\", help=None, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nst.metric(label="Temperature", value="70 \u00b0F", delta="1.2 \u00b0F")\n
\n\n \n

st.metric looks especially nice in combination with st.columns:

\n
\nimport streamlit as st\n\ncol1, col2, col3 = st.columns(3)\ncol1.metric("Temperature", "70 \u00b0F", "1.2 \u00b0F")\ncol2.metric("Wind", "9 mph", "-8%")\ncol3.metric("Humidity", "86%", "4%")\n
\n\n \n

The delta indicator color can also be inverted or turned off:

\n
\nimport streamlit as st\n\nst.metric(label="Gas price", value=4, delta=-0.5,\n    delta_color="inverse")\n\nst.metric(label="Active developers", value=123, delta=123,\n    delta_color="off")\n
\n\n \n
\n", - "description": "

Display a metric in big bold font, with an optional indicator of how the metric changed.

\n

Tip: If you want to display a large number, it may be a good idea to\nshorten it using packages like millify\nor numerize. E.g. 1234 can be\ndisplayed as 1.2k using st.metric("Short number", millify(1234)).

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

The header or title for the metric. The label can optionally contain\nMarkdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Value of the metric. None is rendered as a long dash.

\n", - "default": null - }, - { - "name": "delta", - "type_name": "int, float, str, or None", - "is_optional": false, - "description": "

Indicator of how the metric changed, rendered with an arrow below\nthe metric. If delta is negative (int/float) or starts with a minus\nsign (str), the arrow points down and the text is red; else the\narrow points up and the text is green. If None (default), no delta\nindicator is shown.

\n", - "default": null - }, - { - "name": "delta_color", - "type_name": "\"normal\", \"inverse\", or \"off\"", - "is_optional": false, - "description": "

If "normal" (default), the delta indicator is shown as described\nabove. If "inverse", it is red when positive and green when\nnegative. This is useful when a negative change is considered\ngood, e.g. if cost decreased. If "off", delta is shown in gray\nregardless of its value.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the metric label.

\n", - "default": null - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/metric.py#L46" - }, - "DeltaGenerator.multiselect": { - "name": "multiselect", - "signature": "element.multiselect(label, options, default=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, max_selections=None, placeholder=\"Choose an option\", disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noptions = st.multiselect(\n    'What are your favorite colors',\n    ['Green', 'Yellow', 'Red', 'Blue'],\n    ['Yellow', 'Red'])\n\nst.write('You selected:', options)\n
\n\n \n
\n", - "description": "

Display a multiselect widget.

\n

The multiselect widget starts as empty.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "default", - "type_name": "[V], V, or None", - "is_optional": false, - "description": "

List of default values. Can also be a single value.

\n", - "default": "values" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of selectbox options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe multiselect.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the multiselect.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this multiselect's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "max_selections", - "type_name": "int", - "is_optional": false, - "description": "

The max selections that can be selected at a time.\nThis argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str", - "is_optional": false, - "description": "

A string to display when no options are selected. Defaults to 'Choose an option'.

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "list", - "is_generator": false, - "description": "

A list with the selected options

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/multiselect.py#L145" - }, - "DeltaGenerator.number_input": { - "name": "number_input", - "signature": "element.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", - "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The minimum permitted value.\nIf None, there will be no minimum.

\n", - "default": null - }, - { - "name": "max_value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The maximum permitted value.\nIf None, there will be no maximum.

\n", - "default": null - }, - { - "name": "value", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The value of this widget when it first renders.\nDefaults to min_value, or 0.0 if min_value is None

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int, float, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 otherwise.\nIf the value is not specified, the format parameter will be used.

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. Output must be purely numeric. This does not impact\nthe return value. Valid formatters: %d %e %f %g %i %u

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this number_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int or float", - "is_generator": false, - "description": "

The current value of the numeric input widget. The return type\nwill match the data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/number_input.py#L66" - }, - "DeltaGenerator.plotly_chart": { - "name": "plotly_chart", - "signature": "element.plotly_chart(figure_or_data, use_container_width=False, sharing=\"streamlit\", theme=\"streamlit\", **kwargs)", - "example": "
\n

The example below comes straight from the examples at\nhttps://plot.ly/python:

\n
\nimport streamlit as st\nimport numpy as np\nimport plotly.figure_factory as ff\n\n# Add histogram data\nx1 = np.random.randn(200) - 2\nx2 = np.random.randn(200)\nx3 = np.random.randn(200) + 2\n\n# Group data together\nhist_data = [x1, x2, x3]\n\ngroup_labels = ['Group 1', 'Group 2', 'Group 3']\n\n# Create distplot with custom bin_size\nfig = ff.create_distplot(\n        hist_data, group_labels, bin_size=[.1, .25, .5])\n\n# Plot!\nst.plotly_chart(fig, use_container_width=True)\n
\n\n \n
\n", - "description": "

Display an interactive Plotly chart.

\n

Plotly is a charting library for Python. The arguments to this function\nclosely follow the ones for Plotly's plot() function. You can find\nmore about Plotly at https://plot.ly/python.

\n

To show Plotly charts in Streamlit, call st.plotly_chart wherever you\nwould call Plotly's py.plot or py.iplot.

\n", - "args": [ - { - "name": "figure_or_data", - "type_name": "plotly.graph_objs.Figure, plotly.graph_objs.Data,", - "is_optional": false, - "description": "

dict/list of plotly.graph_objs.Figure/Data

\n

See https://plot.ly/python/ for examples of graph descriptions.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over the figure's native width value.

\n", - "default": null - }, - { - "name": "sharing", - "type_name": "\"streamlit\", \"private\", \"secret\", or \"public\"", - "is_optional": false, - "description": "

Use "streamlit" to insert the plot and all its dependencies\ndirectly in the Streamlit app using plotly's offline mode (default).\nUse any other sharing mode to send the chart to Plotly chart studio, which\nrequires an account. See https://plot.ly/python/chart-studio/ for more information.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": null, - "is_optional": null, - "description": "

Any argument accepted by Plotly's plot() function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/plotly_chart.py#L81" - }, - "DeltaGenerator.progress": { - "name": "progress", - "signature": "element.progress(value, text=None)", - "example": "
\n

Here is an example of a progress bar increasing over time:

\n
\nimport streamlit as st\nimport time\n\nprogress_text = "Operation in progress. Please wait."\nmy_bar = st.progress(0, text=progress_text)\n\nfor percent_complete in range(100):\n    time.sleep(0.1)\n    my_bar.progress(percent_complete + 1, text=progress_text)\n
\n
\n", - "description": "

Display a progress bar.

\n", - "args": [ - { - "name": "value", - "type_name": "int or float", - "is_optional": false, - "description": "

0 <= value <= 100 for int

\n

0.0 <= value <= 1.0 for float

\n", - "default": null - }, - { - "name": "text", - "type_name": "str or None", - "is_optional": false, - "description": "

A message to display above the progress bar. The text can optionally\ncontain Markdown and supports the following elements: Bold, Italics,\nStrikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/progress.py#L66" - }, - "DeltaGenerator.pydeck_chart": { - "name": "pydeck_chart", - "signature": "element.pydeck_chart(pydeck_obj=None, use_container_width=False)", - "example": "
\n

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the\nlight or dark map style, based on which Streamlit theme is currently active:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport pydeck as pdk\n\nchart_data = pd.DataFrame(\n   np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],\n   columns=['lat', 'lon'])\n\nst.pydeck_chart(pdk.Deck(\n    map_style=None,\n    initial_view_state=pdk.ViewState(\n        latitude=37.76,\n        longitude=-122.4,\n        zoom=11,\n        pitch=50,\n    ),\n    layers=[\n        pdk.Layer(\n           'HexagonLayer',\n           data=chart_data,\n           get_position='[lon, lat]',\n           radius=200,\n           elevation_scale=4,\n           elevation_range=[0, 1000],\n           pickable=True,\n           extruded=True,\n        ),\n        pdk.Layer(\n            'ScatterplotLayer',\n            data=chart_data,\n            get_position='[lon, lat]',\n            get_color='[200, 30, 0, 160]',\n            get_radius=200,\n        ),\n    ],\n))\n
\n\n \n
\n

Note

\n

To make the PyDeck chart's style consistent with Streamlit's theme,\nyou can set map_style=None in the pydeck.Deck object.

\n
\n
\n", - "description": "

Draw a chart using the PyDeck library.

\n

This supports 3D maps, point clouds, and more! More info about PyDeck\nat https://deckgl.readthedocs.io/en/latest/.

\n

These docs are also quite useful:

\n\n

When using this command, Mapbox provides the map tiles to render map\ncontent. Note that Mapbox is a third-party product, the use of which is\ngoverned by Mapbox's Terms of Use.

\n

Mapbox requires users to register and provide a token before users can\nrequest map tiles. Currently, Streamlit provides this token for you, but\nthis could change at any time. We strongly recommend all users create and\nuse their own personal Mapbox token to avoid any disruptions to their\nexperience. You can do this with the mapbox.token config option.

\n

To get a token for yourself, create an account at https://mapbox.com.\nFor more info on how to set config options, see\nhttps://docs.streamlit.io/library/advanced-features/configuration

\n", - "args": [ - { - "name": "pydeck_obj", - "type_name": "pydeck.Deck or None", - "is_optional": false, - "description": "

Object specifying the PyDeck chart to draw.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/deck_gl_json_chart.py#L36" - }, - "DeltaGenerator.pyplot": { - "name": "pyplot", - "signature": "element.pyplot(fig=None, clear_figure=None, use_container_width=True, **kwargs)", - "notes": "
\n
\n

Note

\n

Deprecation warning. After December 1st, 2020, we will remove the ability\nto specify no arguments in st.pyplot(), as that requires the use of\nMatplotlib's global figure object, which is not thread-safe. So\nplease always pass a figure object as shown in the example section\nabove.

\n
\n

Matplotlib supports several types of "backends". If you're getting an\nerror using Matplotlib with Streamlit, try setting your backend to "TkAgg":

\n
\necho "backend: TkAgg" >> ~/.matplotlib/matplotlibrc\n
\n

For more information, see https://matplotlib.org/faq/usage_faq.html.

\n
\n", - "example": "
\n
\nimport streamlit as st\nimport matplotlib.pyplot as plt\nimport numpy as np\n\narr = np.random.normal(1, 1, size=100)\nfig, ax = plt.subplots()\nax.hist(arr, bins=20)\n\nst.pyplot(fig)\n
\n\n \n
\n", - "description": "

Display a matplotlib.pyplot figure.

\n", - "args": [ - { - "name": "fig", - "type_name": "Matplotlib Figure", - "is_optional": false, - "description": "

The figure to plot. When this argument isn't specified, this\nfunction will render the global figure (but this is deprecated,\nas described below)

\n", - "default": null - }, - { - "name": "clear_figure", - "type_name": "bool", - "is_optional": false, - "description": "

If True, the figure will be cleared after being rendered.\nIf False, the figure will not be cleared after being rendered.\nIf left unspecified, we pick a default based on the value of fig.

\n
    \n
  • If fig is set, defaults to False.
    • \n
  • If fig is not set, defaults to True. This simulates Jupyter's\napproach to matplotlib rendering.
    • \n
\n", - "default": "based" - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. Defaults to True.

\n", - "default": "s" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Arguments to pass to Matplotlib's savefig function.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/pyplot.py#L38" - }, - "DeltaGenerator.radio": { - "name": "radio", - "signature": "element.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, horizontal=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ngenre = st.radio(\n    "What\\'s your favorite movie genre",\n    ('Comedy', 'Drama', 'Documentary'))\n\nif genre == 'Comedy':\n    st.write('You selected comedy.')\nelse:\n    st.write("You didn\\'t select comedy.")\n
\n\n \n
\n", - "description": "

Display a radio button widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this radio group is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the radio options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of radio options. It receives\nthe raw option as an argument and should output the label to be\nshown for that option. This has no impact on the return value of\nthe radio.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the radio.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this radio's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" - }, - { - "name": "horizontal", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which orients the radio group horizontally.\nThe default is false (vertical buttons). This argument can only\nbe supplied by keyword.

\n", - "default": "false" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/radio.py#L75" - }, - "DeltaGenerator.select_slider": { - "name": "select_slider", - "signature": "element.select_slider(label, options=(), value=None, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\nimport streamlit as st\n\ncolor = st.select_slider(\n    'Select a color of the rainbow',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'])\nst.write('My favorite color is', color)\n
\n

And here's an example of a range select slider:

\n
\nimport streamlit as st\n\nstart_color, end_color = st.select_slider(\n    'Select a range of color wavelength',\n    options=['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet'],\n    value=('red', 'blue'))\nst.write('You selected wavelengths between', start_color, 'and', end_color)\n
\n\n \n ", - "description": "

Display a slider widget to select items from a list.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.select_slider and st.slider is that\nselect_slider accepts any datatype and takes an iterable set of\noptions, while slider only accepts numerical or date/time data and\ntakes a range as input.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to first option.

\n", - "default": "first" - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels from the options.\nargument. It receives the option as an argument and its output\nwill be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the select slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this select_slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any value or tuple of any value", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/select_slider.py#L106" - }, - "DeltaGenerator.selectbox": { - "name": "selectbox", - "signature": "element.selectbox(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=\"Select...\", disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\noption = st.selectbox(\n    'How would you like to be contacted?',\n    ('Email', 'Home phone', 'Mobile phone'))\n\nst.write('You selected:', option)\n
\n\n \n
\n", - "description": "

Display a select widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this select widget is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "options", - "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", - "is_optional": false, - "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null - }, - { - "name": "index", - "type_name": "int", - "is_optional": false, - "description": "

The index of the preselected option on first render.

\n", - "default": null - }, - { - "name": "format_func", - "type_name": "function", - "is_optional": false, - "description": "

Function to modify the display of the labels. It receives the option\nas an argument and its output will be cast to str.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the selectbox.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this selectbox's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str", - "is_optional": false, - "description": "

A string to display when no options are selected. Defaults to 'Select...'.

\n

A selectbox can't be empty, so a placeholder only displays while a\nuser's cursor is in a selectbox after manually deleting the current\nselection. A future update will allow selectboxes to be empty.

\n", - "default": "s" - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "any", - "is_generator": false, - "description": "

The selected option

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/selectbox.py#L71" - }, - "DeltaGenerator.slider": { - "name": "slider", - "signature": "element.slider(label, min_value=None, max_value=None, value=None, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", - "examples": "
\n
\nimport streamlit as st\n\nage = st.slider('How old are you?', 0, 130, 25)\nst.write("I'm ", age, 'years old')\n
\n

And here's an example of a range slider:

\n
\nimport streamlit as st\n\nvalues = st.slider(\n    'Select a range of values',\n    0.0, 100.0, (25.0, 75.0))\nst.write('Values:', values)\n
\n

This is a range time slider:

\n
\nimport streamlit as st\nfrom datetime import time\n\nappointment = st.slider(\n    "Schedule your appointment:",\n    value=(time(11, 30), time(12, 45)))\nst.write("You're scheduled for:", appointment)\n
\n

Finally, a datetime slider:

\n
\nimport streamlit as st\nfrom datetime import datetime\n\nstart_time = st.slider(\n    "When do you start?",\n    value=datetime(2020, 1, 1, 9, 30),\n    format="MM/DD/YY - hh:mm")\nst.write("Start time:", start_time)\n
\n\n \n
\n", - "description": "

Display a slider widget.

\n

This supports int, float, date, time, and datetime types.

\n

This also allows you to render a range slider by passing a two-element\ntuple or list as the value.

\n

The difference between st.slider and st.select_slider is that\nslider only accepts numerical or date/time data and takes a range as\ninput, while select_slider accepts any datatype and takes an iterable\nset of options.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this slider is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "min_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The minimum permitted value.\nDefaults to 0 if the value is an int, 0.0 if a float,\nvalue - timedelta(days=14) if a date/datetime, time.min if a time

\n", - "default": "0" - }, - { - "name": "max_value", - "type_name": "a supported type or None", - "is_optional": false, - "description": "

The maximum permitted value.\nDefaults to 100 if the value is an int, 1.0 if a float,\nvalue + timedelta(days=14) if a date/datetime, time.max if a time

\n", - "default": "100" - }, - { - "name": "value", - "type_name": "a supported type or a tuple/list of supported types or None", - "is_optional": false, - "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" - }, - { - "name": "step", - "type_name": "int, float, timedelta, or None", - "is_optional": false, - "description": "

The stepping interval.\nDefaults to 1 if the value is an int, 0.01 if a float,\ntimedelta(days=1) if a date/datetime, timedelta(minutes=15) if a time\n(or if max_value - min_value < 1 day)

\n", - "default": "1" - }, - { - "name": "format", - "type_name": "str or None", - "is_optional": false, - "description": "

A printf-style format string controlling how the interface should\ndisplay numbers. This does not impact the return value.\nFormatter for int/float supports: %d %e %f %g %i\nFormatter for date/time/datetime uses Moment.js notation:\nhttps://momentjs.com/docs/#/displaying/format/

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the slider.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this slider's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "int/float/date/time/datetime or tuple of int/float/date/time/datetime", - "is_generator": false, - "description": "

The current value of the slider widget. The return type will match\nthe data type of the value parameter.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/slider.py#L172" - }, - "DeltaGenerator.snow": { - "name": "snow", - "signature": "element.snow()", - "example": "
\n
\nimport streamlit as st\n\nst.snow()\n
\n

...then watch your app and get ready for a cool celebration!

\n
\n", - "description": "

Draw celebratory snowfall.

\n", - "args": [], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/snow.py#L25" - }, - "DeltaGenerator.subheader": { - "name": "subheader", - "signature": "element.subheader(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.subheader('This is a subheader')\nst.subheader('A subheader with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in subheader formatting.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the subheader.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/heading.py#L93" - }, - "DeltaGenerator.success": { - "name": "success", - "signature": "element.success(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.success('This is a success message!', icon="\u2705")\n
\n
\n", - "description": "

Display a success message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The success text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/alert.py#L124" - }, - "DeltaGenerator.table": { - "name": "table", - "signature": "element.table(data=None)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\ndf = pd.DataFrame(\n   np.random.randn(10, 5),\n   columns=('col %d' % i for i in range(5)))\n\nst.table(df)\n
\n\n \n
\n", - "description": "

Display a static table.

\n

This differs from st.dataframe in that the table in this case is\nstatic: its entire contents are laid out directly on the page.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, pyspark.sql.DataFrame, snowflake.snowpark.dataframe.DataFrame, snowflake.snowpark.table.Table, Iterable, dict, or None", - "is_optional": false, - "description": "

The table data.\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L192" - }, - "DeltaGenerator.tabs": { - "name": "tabs", - "signature": "element.tabs(tabs)", - "examples": "
\n

You can use with notation to insert any element into a tab:

\n
\nimport streamlit as st\n\ntab1, tab2, tab3 = st.tabs(["Cat", "Dog", "Owl"])\n\nwith tab1:\n   st.header("A cat")\n   st.image("https://static.streamlit.io/examples/cat.jpg", width=200)\n\nwith tab2:\n   st.header("A dog")\n   st.image("https://static.streamlit.io/examples/dog.jpg", width=200)\n\nwith tab3:\n   st.header("An owl")\n   st.image("https://static.streamlit.io/examples/owl.jpg", width=200)\n
\n\n \n

Or you can just call methods directly in the returned objects:

\n
\nimport streamlit as st\nimport numpy as np\n\ntab1, tab2 = st.tabs(["\ud83d\udcc8 Chart", "\ud83d\uddc3 Data"])\ndata = np.random.randn(10, 1)\n\ntab1.subheader("A tab with a chart")\ntab1.line_chart(data)\n\ntab2.subheader("A tab with the data")\ntab2.write(data)\n
\n\n \n
\n", - "description": "

Insert containers separated into tabs.

\n

Inserts a number of multi-element containers as tabs.\nTabs are a navigational element that allows users to easily\nmove between groups of related content.

\n

To add elements to the returned containers, you can use "with" notation\n(preferred) or just call methods directly on the returned object. See\nexamples below.

\n
\n

Warning

\n

All the content of every tab is always sent to and rendered on the frontend.\nConditional rendering is currently not supported.

\n
\n", - "args": [ - { - "name": "tabs", - "type_name": "list of strings", - "is_optional": false, - "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null - } - ], - "returns": [ - { - "type_name": "list of containers", - "is_generator": false, - "description": "

A list of container objects.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/layouts.py#L203" - }, - "DeltaGenerator.text": { - "name": "text", - "signature": "element.text(body, *, help=None)", - "example": "
\n
\nimport streamlit as st\n\nst.text('This is some text.')\n
\n
\n", - "description": "

Write fixed-width and preformatted text.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the text.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/text.py#L27" - }, - "DeltaGenerator.text_area": { - "name": "text_area", - "signature": "element.text_area(label, value=\"\", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntxt = st.text_area('Text to analyze', '''\n    It was the best of times, it was the worst of times, it was\n    the age of wisdom, it was the age of foolishness, it was\n    the epoch of belief, it was the epoch of incredulity, it\n    was the season of Light, it was the season of Darkness, it\n    was the spring of hope, it was the winter of despair, (...)\n    ''')\nst.write('Sentiment:', run_sentiment_analysis(txt))\n
\n
\n", - "description": "

Display a multi-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "height", - "type_name": "int or None", - "is_optional": false, - "description": "

Desired height of the UI element expressed in pixels. If None, a\ndefault height is used.

\n", - "default": "height" - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Maximum number of characters allowed in text area.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the textarea.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text_area's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text area is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/text_widgets.py#L274" - }, - "DeltaGenerator.text_input": { - "name": "text_input", - "signature": "element.text_input(label, value=\"\", max_chars=None, key=None, type=\"default\", help=None, autocomplete=None, on_change=None, args=None, kwargs=None, *, placeholder=None, disabled=False, label_visibility=\"visible\")", - "example": "
\n
\nimport streamlit as st\n\ntitle = st.text_input('Movie title', 'Life of Brian')\nst.write('The current movie title is', title)\n
\n\n \n
\n", - "description": "

Display a single-line text input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "object", - "is_optional": false, - "description": "

The text value of this widget when it first renders. This will be\ncast to str internally.

\n", - "default": null - }, - { - "name": "max_chars", - "type_name": "int or None", - "is_optional": false, - "description": "

Max number of characters allowed in text input.

\n", - "default": null - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "type", - "type_name": "\"default\" or \"password\"", - "is_optional": false, - "description": "

The type of the text input. This can be either "default" (for\na regular text input), or "password" (for a text input that\nmasks the user's typed value). Defaults to "default".

\n", - "default": "s" - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "autocomplete", - "type_name": "str", - "is_optional": false, - "description": "

An optional value that will be passed to the <input> element's\nautocomplete property. If unspecified, this value will be set to\n"new-password" for "password" inputs, and the empty string for\n"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this text input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "placeholder", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional string displayed when the text input is empty. If None,\nno text is displayed. This argument can only be supplied by keyword.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - } - ], - "returns": [ - { - "type_name": "str", - "is_generator": false, - "description": "

The current value of the text input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/text_widgets.py#L71" - }, - "DeltaGenerator.time_input": { - "name": "time_input", - "signature": "element.time_input(label, value=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\", step=0:15:00)", - "example": "
\n
\nimport datetime\nimport streamlit as st\n\nt = st.time_input('Set an alarm for', datetime.time(8, 45))\nst.write('Alarm is set for', t)\n
\n\n \n
\n", - "description": "

Display a time input widget.

\n", - "args": [ - { - "name": "label", - "type_name": "str", - "is_optional": false, - "description": "

A short label explaining to the user what this time input is for.\nThe label can optionally contain Markdown and supports the following\nelements: Bold, Italics, Strikethroughs, Inline Code, Emojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n

For accessibility reasons, you should never set an empty label (label="")\nbut hide it with label_visibility if needed. In the future, we may disallow\nempty labels by raising an exception.

\n", - "default": null - }, - { - "name": "value", - "type_name": "datetime.time/datetime.datetime", - "is_optional": false, - "description": "

The value of this widget when it first renders. This will be\ncast to str internally. Defaults to the current time.

\n", - "default": "the" - }, - { - "name": "key", - "type_name": "str or int", - "is_optional": false, - "description": "

An optional string or integer to use as the unique key for the widget.\nIf this is omitted, a key will be generated for the widget\nbased on its content. Multiple widgets of the same type may\nnot share the same key.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the input.

\n", - "default": null - }, - { - "name": "on_change", - "type_name": "callable", - "is_optional": false, - "description": "

An optional callback invoked when this time_input's value changes.

\n", - "default": null - }, - { - "name": "args", - "type_name": "tuple", - "is_optional": false, - "description": "

An optional tuple of args to pass to the callback.

\n", - "default": null - }, - { - "name": "kwargs", - "type_name": "dict", - "is_optional": false, - "description": "

An optional dict of kwargs to pass to the callback.

\n", - "default": null - }, - { - "name": "disabled", - "type_name": "bool", - "is_optional": false, - "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" - }, - { - "name": "label_visibility", - "type_name": "\"visible\", \"hidden\", or \"collapsed\"", - "is_optional": false, - "description": "

The visibility of the label. If "hidden", the label doesn't show but there\nis still empty space for it above the widget (equivalent to label="").\nIf "collapsed", both the label and the space are removed. Default is\n"visible". This argument can only be supplied by keyword.

\n", - "default": "is" - }, - { - "name": "step", - "type_name": "int or timedelta", - "is_optional": false, - "description": "

The stepping interval in seconds. Defaults to 900, i.e. 15 minutes.\nYou can also pass a datetime.timedelta object.

\n", - "default": "900" - } - ], - "returns": [ - { - "type_name": "datetime.time", - "is_generator": false, - "description": "

The current value of the time input widget.

\n", - "return_name": null - } - ], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/time_widgets.py#L217" - }, - "DeltaGenerator.title": { - "name": "title", - "signature": "element.title(body, anchor=None, *, help=None)", - "examples": "
\n
\nimport streamlit as st\n\nst.title('This is a title')\nst.title('A title with _italics_ :blue[colors] and emojis :sunglasses:')\n
\n
\n", - "description": "

Display text in title formatting.

\n

Each document should have a single st.title(), although this is not\nenforced.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The text to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "anchor", - "type_name": "str or False", - "is_optional": false, - "description": "

The anchor name of the header that can be accessed with #anchor\nin the URL. If omitted, it generates an anchor using the body.\nIf False, the anchor is not shown in the UI.

\n", - "default": null - }, - { - "name": "help", - "type_name": "str", - "is_optional": false, - "description": "

An optional tooltip that gets displayed next to the title.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/heading.py#L146" - }, - "DeltaGenerator.toast": { - "name": "toast", - "signature": "element.toast(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.toast('Your edited image was saved!', icon='\ud83d\ude0d')\n
\n
\n", - "description": "

Display a short message, known as a notification "toast".

\n

The toast appears in the app's bottom-right corner and disappears after four seconds.

\n
\n

Warning

\n

st.toast is not compatible with Streamlit's caching and\ncannot be called within a cached function.

\n
\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The string to display as Github-flavored Markdown. Syntax\ninformation can be found at: https://github.github.com/gfm.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet.
    • \n
\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the toast. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/toast.py#L37" - }, - "DeltaGenerator.vega_lite_chart": { - "name": "vega_lite_chart", - "signature": "element.vega_lite_chart(data=None, spec=None, use_container_width=False, theme=\"streamlit\", **kwargs)", - "example": "
\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\n\nchart_data = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nst.vega_lite_chart(chart_data, {\n    'mark': {'type': 'circle', 'tooltip': True},\n    'encoding': {\n        'x': {'field': 'a', 'type': 'quantitative'},\n        'y': {'field': 'b', 'type': 'quantitative'},\n        'size': {'field': 'c', 'type': 'quantitative'},\n        'color': {'field': 'c', 'type': 'quantitative'},\n    },\n})\n
\n\n \n

Examples of Vega-Lite usage without Streamlit can be found at\nhttps://vega.github.io/vega-lite/examples/. Most of those can be easily\ntranslated to the syntax shown above.

\n
\n", - "description": "

Display a chart using the Vega-Lite library.

\n", - "args": [ - { - "name": "data", - "type_name": "pandas.DataFrame, pandas.Styler, pyarrow.Table, numpy.ndarray, Iterable, dict, or None", - "is_optional": false, - "description": "

Either the data to be plotted or a Vega-Lite spec containing the\ndata (which more closely follows the Vega-Lite API).\nPyarrow tables are not supported by Streamlit's legacy DataFrame serialization\n(i.e. with config.dataFrameSerialization = "legacy").\nTo use pyarrow tables, please enable pyarrow by changing the config setting,\nconfig.dataFrameSerialization = "arrow".

\n", - "default": null - }, - { - "name": "spec", - "type_name": "dict or None", - "is_optional": false, - "description": "

The Vega-Lite spec for the chart. If the spec was already passed in\nthe previous argument, this must be set to None. See\nhttps://vega.github.io/vega-lite/docs/ for more info.

\n", - "default": null - }, - { - "name": "use_container_width", - "type_name": "bool", - "is_optional": false, - "description": "

If True, set the chart width to the column width. This takes\nprecedence over Vega-Lite's native width value.

\n", - "default": null - }, - { - "name": "theme", - "type_name": "\"streamlit\" or None", - "is_optional": false, - "description": "

The theme of the chart. Currently, we only support "streamlit" for the Streamlit\ndefined design or None to fallback to the default behavior of the library.

\n", - "default": "behavior" - }, - { - "name": "**kwargs", - "type_name": "any", - "is_optional": false, - "description": "

Same as spec, but as keywords.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/dataframe_selector.py#L545" - }, - "DeltaGenerator.video": { - "name": "video", - "signature": "element.video(data, format=\"video/mp4\", start_time=0)", - "example": "
\n
\nimport streamlit as st\n\nvideo_file = open('myvideo.mp4', 'rb')\nvideo_bytes = video_file.read()\n\nst.video(video_bytes)\n
\n\n \n
\n

Note

\n

Some videos may not display if they are encoded using MP4V (which is an export option in OpenCV), as this codec is\nnot widely supported by browsers. Converting your video to H.264 will allow the video to be displayed in Streamlit.\nSee this StackOverflow post or this\nStreamlit forum post\nfor more information.

\n
\n
\n", - "description": "

Display a video player.

\n", - "args": [ - { - "name": "data", - "type_name": "str, bytes, BytesIO, numpy.ndarray, or file", - "is_optional": false, - "description": "

Raw video data, filename, or URL pointing to a video to load.\nIncludes support for YouTube URLs.\nNumpy arrays and raw data formats must include all necessary file\nheaders to match specified file format.

\n", - "default": null - }, - { - "name": "format", - "type_name": "str", - "is_optional": false, - "description": "

The mime type for the video file. Defaults to 'video/mp4'.\nSee https://tools.ietf.org/html/rfc4281 for more info.

\n", - "default": "s" - }, - { - "name": "start_time", - "type_name": "int", - "is_optional": false, - "description": "

The time from which this element should start playing.

\n", - "default": null - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/media.py#L115" - }, - "DeltaGenerator.warning": { - "name": "warning", - "signature": "element.warning(body, *, icon=None)", - "example": "
\n
\nimport streamlit as st\n\nst.warning('This is a warning', icon="\u26a0\ufe0f")\n
\n
\n", - "description": "

Display warning message.

\n", - "args": [ - { - "name": "body", - "type_name": "str", - "is_optional": false, - "description": "

The warning text to display.

\n", - "default": null - }, - { - "name": "icon", - "type_name": "str or None", - "is_optional": false, - "description": "

An optional, keyword-only argument that specifies an emoji to use as\nthe icon for the alert. Shortcodes are not allowed, please use a\nsingle character instead. E.g. "\ud83d\udea8", "\ud83d\udd25", "\ud83e\udd16", etc.\nDefaults to None, which means no icon is displayed.

\n", - "default": "None" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/alert.py#L59" - }, - "DeltaGenerator.write": { - "name": "write", - "signature": "element.write(*args, unsafe_allow_html=False, **kwargs)", - "example": "
\n

Its basic use case is to draw Markdown-formatted text, whenever the\ninput is a string:

\n
\nimport streamlit as st\n\nst.write('Hello, *World!* :sunglasses:')\n
\n\n \n

As mentioned earlier, st.write() also accepts other data formats, such as\nnumbers, data frames, styled data frames, and assorted objects:

\n
\nimport streamlit as st\nimport pandas as pd\n\nst.write(1234)\nst.write(pd.DataFrame({\n    'first column': [1, 2, 3, 4],\n    'second column': [10, 20, 30, 40],\n}))\n
\n\n \n

Finally, you can pass in multiple arguments to do things like:

\n
\nimport streamlit as st\n\nst.write('1 + 1 = ', 2)\nst.write('Below is a DataFrame:', data_frame, 'Above is a dataframe.')\n
\n\n \n

Oh, one more thing: st.write accepts chart objects too! For example:

\n
\nimport streamlit as st\nimport pandas as pd\nimport numpy as np\nimport altair as alt\n\ndf = pd.DataFrame(\n    np.random.randn(200, 3),\n    columns=['a', 'b', 'c'])\n\nc = alt.Chart(df).mark_circle().encode(\n    x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])\n\nst.write(c)\n
\n\n \n
\n", - "description": "

Write arguments to the app.

\n

This is the Swiss Army knife of Streamlit commands: it does different\nthings depending on what you throw at it. Unlike other Streamlit commands,\nwrite() has some unique properties:

\n
    \n
  1. You can pass in multiple arguments, all of which will be written.
    2. \n
  2. Its behavior depends on the input types as follows.
    3. \n
  3. It returns None, so its "slot" in the App cannot be reused.
    4. \n
\n", - "args": [ - { - "name": "*args", - "type_name": "any", - "is_optional": false, - "description": "

One or many objects to print to the App.

\n

Arguments are handled as follows:

\n
    \n
  • \n
    write(string) : Prints the formatted Markdown string, with
    \n
    support for LaTeX expression, emoji shortcodes, and colored text.\nSee docs for st.markdown for more.
    \n
    \n
    • \n
  • write(data_frame) : Displays the DataFrame as a table.
    • \n
  • write(error) : Prints an exception specially.
    • \n
  • write(func) : Displays information about a function.
    • \n
  • write(module) : Displays information about the module.
    • \n
  • write(class) : Displays information about a class.
    • \n
  • write(dict) : Displays dict in an interactive widget.
    • \n
  • write(mpl_fig) : Displays a Matplotlib figure.
    • \n
  • write(altair) : Displays an Altair chart.
    • \n
  • write(keras) : Displays a Keras model.
    • \n
  • write(graphviz) : Displays a Graphviz graph.
    • \n
  • write(plotly_fig) : Displays a Plotly figure.
    • \n
  • write(bokeh_fig) : Displays a Bokeh figure.
    • \n
  • write(sympy_expr) : Prints SymPy expression using LaTeX.
    • \n
  • write(htmlable) : Prints _repr_html_() for the object if available.
    • \n
  • write(obj) : Prints str(obj) if otherwise unknown.
    • \n
\n", - "default": null - }, - { - "name": "unsafe_allow_html", - "type_name": "bool", - "is_optional": false, - "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" - } - ], - "returns": [], - "source": "https://github.com/streamlit/streamlit/blob/1.25.0/lib/streamlit/elements/write.py#L49" - } - }, "1.26.0": { "streamlit.altair_chart": { "name": "altair_chart", @@ -98011,7 +63,7 @@ "type_name": "str, tuple, sequence of str, sequence of tuple, or None", "is_optional": false, "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For an area chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "width", @@ -98117,7 +169,7 @@ "type_name": "str, tuple, sequence of str, sequence of tuple, or None", "is_optional": false, "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For a bar chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "width", @@ -98228,7 +280,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "use_container_width", @@ -98301,14 +353,14 @@ "type_name": "int or None", "is_optional": false, "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" + "default": "None." }, { "name": "ttl", "type_name": "float or None", "is_optional": false, "description": "

The maximum number of seconds to keep an entry in the cache, or\nNone if cache entries should not expire. The default is None.

\n", - "default": "None" + "default": "None." } ], "returns": [], @@ -98339,7 +391,7 @@ "type_name": "int or None", "is_optional": false, "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None" + "default": "None." }, { "name": "show_spinner", @@ -98353,14 +405,14 @@ "type_name": "\"disk\", boolean, or None", "is_optional": false, "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None" + "default": "None." }, { "name": "experimental_allow_widgets", "type_name": "boolean", "is_optional": false, "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" + "default": "False." }, { "name": "hash_funcs", @@ -98398,7 +450,7 @@ "type_name": "int or None", "is_optional": false, "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None" + "default": "None." }, { "name": "show_spinner", @@ -98419,7 +471,7 @@ "type_name": "boolean", "is_optional": false, "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" + "default": "False." }, { "name": "hash_funcs", @@ -98485,7 +537,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -98568,7 +620,7 @@ "type_name": "bool", "is_optional": false, "description": "

Whether the chat input should be disabled. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "on_submit", @@ -98693,7 +745,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -98762,7 +814,7 @@ "type_name": "str", "is_optional": false, "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" + "default": "black." }, { "name": "key", @@ -98804,7 +856,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -98896,7 +948,7 @@ "type_name": "bool", "is_optional": false, "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "hide_index", @@ -99112,7 +1164,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -99222,7 +1274,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "use_container_width", @@ -99358,14 +1410,14 @@ "type_name": "int or None", "is_optional": false, "description": "

The maximum number of connections to keep in the cache, or None\nfor an unbounded cache. (When a new entry is added to a full cache,\nthe oldest cached entry will be removed.) The default is None.

\n", - "default": "None" + "default": "None." }, { "name": "ttl", "type_name": "float, timedelta, or None", "is_optional": false, "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None" + "default": "None." }, { "name": "**kwargs", @@ -99417,7 +1469,7 @@ "type_name": "bool", "is_optional": false, "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "hide_index", @@ -99534,7 +1586,7 @@ "type_name": "int or None", "is_optional": false, "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None" + "default": "None." }, { "name": "show_spinner", @@ -99548,14 +1600,14 @@ "type_name": "\"disk\", boolean, or None", "is_optional": false, "description": "

Optional location to persist cached data to. Passing "disk" (or True)\nwill persist the cached data to the local disk. None (or False) will disable\npersistence. The default is None.

\n", - "default": "None" + "default": "None." }, { "name": "experimental_allow_widgets", "type_name": "boolean", "is_optional": false, "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" + "default": "False." }, { "name": "hash_funcs", @@ -99618,7 +1670,7 @@ "type_name": "int or None", "is_optional": false, "description": "

The maximum number of entries to keep in the cache, or None\nfor an unbounded cache. When a new entry is added to a full cache,\nthe oldest cached entry will be removed. Defaults to None.

\n", - "default": "None" + "default": "None." }, { "name": "show_spinner", @@ -99639,7 +1691,7 @@ "type_name": "boolean", "is_optional": false, "description": "

Allow widgets to be used in the cached function. Defaults to False.\nSupport for widgets in cached functions is currently experimental.\nSetting this parameter to True may lead to excessive memory use since the\nwidget value is treated as an additional input parameter to the cache.\nWe may remove support for this option at any time without notice.

\n", - "default": "False" + "default": "False." }, { "name": "hash_funcs", @@ -99719,7 +1771,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -99780,7 +1832,7 @@ "type_name": "str or None", "is_optional": false, "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" + "default": "None." }, { "name": "on_click", @@ -99815,7 +1867,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "use_container_width", @@ -99915,7 +1967,7 @@ }, "streamlit.help": { "name": "help", - "signature": "st.help(obj=)", + "signature": "st.help(obj=)", "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", "args": [ @@ -100031,7 +2083,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" + "default": "True." } ], "returns": [], @@ -100093,7 +2145,7 @@ "type_name": "str, tuple, sequence of str, sequence of tuple, or None", "is_optional": false, "description": "

The color to use for different lines in this chart. This argument\ncan only be supplied by keyword.

\n

For a line chart with just one line, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto lines of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby", then\nthose 1000 datapoints will be grouped into three lines, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into three lines, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe lines in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "width", @@ -100152,14 +2204,14 @@ "type_name": "str or tuple or None", "is_optional": false, "description": "

The color of the circles representing each datapoint. This argument\ncan only be supplied by keyword.

\n

Can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
  • The name of the column to use for the color. Cells in this column\nshould contain colors represented as a hex string or color tuple,\nas described above.
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "size", "type_name": "str or float or None", "is_optional": false, "description": "

The size of the circles representing each point, in meters. This\nargument can only be supplied by keyword.

\n

This can be:

\n
    \n
  • None, to use the default size.
    • \n
  • A number like 100, to specify a single size to use for all\ndatapoints.
    • \n
  • The name of the column to use for the size. This allows each\ndatapoint to be represented by a circle of a different size.
    • \n
\n", - "default": "size" + "default": "size." }, { "name": "zoom", @@ -100280,14 +2332,14 @@ "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null + "default": "." }, { "name": "default", "type_name": "[V], V, or None", "is_optional": false, "description": "

List of default values. Can also be a single value.

\n", - "default": "values" + "default": "values." }, { "name": "format_func", @@ -100350,7 +2402,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -100372,7 +2424,7 @@ }, "streamlit.number_input": { "name": "number_input", - "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "signature": "st.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", "args": [ @@ -100458,7 +2510,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -100628,7 +2680,7 @@ "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the radio options. Labels can include markdown as\ndescribed in the label parameter and will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null + "default": "." }, { "name": "index", @@ -100684,7 +2736,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "horizontal", @@ -100736,7 +2788,7 @@ "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null + "default": "." }, { "name": "value", @@ -100792,7 +2844,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -100830,7 +2882,7 @@ "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null + "default": "." }, { "name": "index", @@ -100893,7 +2945,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -101013,7 +3065,7 @@ "type_name": "a supported type or a tuple/list of supported types or None", "is_optional": false, "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" + "default": "min_value." }, { "name": "step", @@ -101069,7 +3121,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -101252,7 +3304,7 @@ "type_name": "list of strings", "is_optional": false, "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null + "default": "." } ], "returns": [ @@ -101370,7 +3422,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -101478,7 +3530,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -101558,7 +3610,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -101700,7 +3752,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the toggle if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -101838,7 +3890,7 @@ "type_name": "bool", "is_optional": false, "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" + "default": "False." } ], "returns": [], @@ -101920,28 +3972,28 @@ "type_name": "float, int, timedelta or None", "is_optional": false, "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None" + "default": "None." }, { "name": "index_col", "type_name": "str, list of str, or None", "is_optional": false, "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", - "default": "None" + "default": "None." }, { "name": "chunksize", "type_name": "int or None", "is_optional": false, "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", - "default": "None" + "default": "None." }, { "name": "params", "type_name": "list, tuple, dict or None", "is_optional": false, "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", - "default": "None" + "default": "None." }, { "name": "**kwargs", @@ -102011,7 +4063,7 @@ "type_name": "float, int, timedelta or None", "is_optional": false, "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None" + "default": "None." } ], "returns": [ @@ -102077,28 +4129,28 @@ "type_name": "float, int, timedelta or None", "is_optional": false, "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None" + "default": "None." }, { "name": "index_col", "type_name": "str, list of str, or None", "is_optional": false, "description": "

Column(s) to set as index(MultiIndex). Default is None.

\n", - "default": "None" + "default": "None." }, { "name": "chunksize", "type_name": "int or None", "is_optional": false, "description": "

If specified, return an iterator where chunksize is the number of\nrows to include in each chunk. Default is None.

\n", - "default": "None" + "default": "None." }, { "name": "params", "type_name": "list, tuple, dict or None", "is_optional": false, "description": "

List of parameters to pass to the execute method. The syntax used to pass\nparameters is database driver dependent. Check your database driver\ndocumentation for which of the five syntax styles, described in PEP 249\nparamstyle, is supported.\nDefault is None.

\n", - "default": "None" + "default": "None." }, { "name": "**kwargs", @@ -102154,7 +4206,7 @@ "type_name": "float, int, timedelta or None", "is_optional": false, "description": "

The maximum number of seconds to keep results in the cache, or\nNone if cached results should not expire. The default is None.

\n", - "default": "None" + "default": "None." } ], "returns": [ @@ -102280,14 +4332,14 @@ "type_name": "bool or None", "is_optional": false, "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "required", "type_name": "bool or None", "is_optional": false, "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "default", @@ -102332,14 +4384,14 @@ "type_name": "bool or None", "is_optional": false, "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "required", "type_name": "bool or None", "is_optional": false, "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" + "default": "False." } ], "returns": [], @@ -102377,14 +4429,14 @@ "type_name": "bool or None", "is_optional": false, "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "required", "type_name": "bool or None", "is_optional": false, "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "default", @@ -102457,14 +4509,14 @@ "type_name": "bool or None", "is_optional": false, "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "required", "type_name": "bool or None", "is_optional": false, "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "default", @@ -102620,14 +4672,14 @@ "type_name": "bool or None", "is_optional": false, "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "required", "type_name": "bool or None", "is_optional": false, "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "default", @@ -102717,14 +4769,14 @@ "type_name": "bool or None", "is_optional": false, "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "required", "type_name": "bool or None", "is_optional": false, "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "default", @@ -102849,14 +4901,14 @@ "type_name": "bool or None", "is_optional": false, "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "required", "type_name": "bool or None", "is_optional": false, "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "default", @@ -102908,14 +4960,14 @@ "type_name": "bool or None", "is_optional": false, "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "required", "type_name": "bool or None", "is_optional": false, "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "default", @@ -102974,14 +5026,14 @@ "type_name": "bool or None", "is_optional": false, "description": "

Whether editing should be disabled for this column. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "required", "type_name": "bool or None", "is_optional": false, "description": "

Whether edited cells in the column need to have a value. If True, an edited cell\ncan only be submitted if it has a value other than None. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "default", @@ -103083,14 +5135,14 @@ "type_name": "int", "is_optional": false, "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" + "default": "150." }, { "name": "scrolling", "type_name": "bool", "is_optional": false, "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" + "default": "False." } ], "returns": [], @@ -103120,14 +5172,14 @@ "type_name": "int", "is_optional": false, "description": "

The height of the frame in CSS pixels. Defaults to 150.

\n", - "default": "150" + "default": "150." }, { "name": "scrolling", "type_name": "bool", "is_optional": false, "description": "

If True, show a scrollbar when the content is larger than the iframe.\nOtherwise, do not show a scrollbar. Defaults to False.

\n", - "default": "False" + "default": "False." } ], "returns": [], @@ -103220,7 +5272,7 @@ "type_name": "str, tuple, sequence of str, sequence of tuple, or None", "is_optional": false, "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For an area chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "width", @@ -103326,7 +5378,7 @@ "type_name": "str, tuple, sequence of str, sequence of tuple, or None", "is_optional": false, "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For a bar chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "width", @@ -103437,7 +5489,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "use_container_width", @@ -103510,7 +5562,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -103593,7 +5645,7 @@ "type_name": "bool", "is_optional": false, "description": "

Whether the chat input should be disabled. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "on_submit", @@ -103718,7 +5770,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -103787,7 +5839,7 @@ "type_name": "str", "is_optional": false, "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" + "default": "black." }, { "name": "key", @@ -103829,7 +5881,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -103921,7 +5973,7 @@ "type_name": "bool", "is_optional": false, "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "hide_index", @@ -104137,7 +6189,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -104255,7 +6307,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "use_container_width", @@ -104381,7 +6433,7 @@ "type_name": "bool", "is_optional": false, "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "hide_index", @@ -104524,7 +6576,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -104585,7 +6637,7 @@ "type_name": "str or None", "is_optional": false, "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" + "default": "None." }, { "name": "on_click", @@ -104620,7 +6672,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "use_container_width", @@ -104704,7 +6756,7 @@ }, "DeltaGenerator.help": { "name": "help", - "signature": "element.help(obj=)", + "signature": "element.help(obj=)", "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", "args": [ @@ -104719,10 +6771,7 @@ "returns": [], "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/doc_string.py#L48" }, - "DeltaGenerator.id": { - "name": "id", - "signature": "element.id" - }, + "DeltaGenerator.id": { "name": "id", "signature": "element.id" }, "DeltaGenerator.image": { "name": "image", "signature": "element.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", @@ -104824,7 +6873,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" + "default": "True." } ], "returns": [], @@ -104886,7 +6935,7 @@ "type_name": "str, tuple, sequence of str, sequence of tuple, or None", "is_optional": false, "description": "

The color to use for different lines in this chart. This argument\ncan only be supplied by keyword.

\n

For a line chart with just one line, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto lines of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby", then\nthose 1000 datapoints will be grouped into three lines, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into three lines, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe lines in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "width", @@ -104945,14 +6994,14 @@ "type_name": "str or tuple or None", "is_optional": false, "description": "

The color of the circles representing each datapoint. This argument\ncan only be supplied by keyword.

\n

Can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
  • The name of the column to use for the color. Cells in this column\nshould contain colors represented as a hex string or color tuple,\nas described above.
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "size", "type_name": "str or float or None", "is_optional": false, "description": "

The size of the circles representing each point, in meters. This\nargument can only be supplied by keyword.

\n

This can be:

\n
    \n
  • None, to use the default size.
    • \n
  • A number like 100, to specify a single size to use for all\ndatapoints.
    • \n
  • The name of the column to use for the size. This allows each\ndatapoint to be represented by a circle of a different size.
    • \n
\n", - "default": "size" + "default": "size." }, { "name": "zoom", @@ -105073,14 +7122,14 @@ "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null + "default": "." }, { "name": "default", "type_name": "[V], V, or None", "is_optional": false, "description": "

List of default values. Can also be a single value.

\n", - "default": "values" + "default": "values." }, { "name": "format_func", @@ -105143,7 +7192,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -105165,7 +7214,7 @@ }, "DeltaGenerator.number_input": { "name": "number_input", - "signature": "element.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "signature": "element.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", "args": [ @@ -105251,7 +7300,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -105421,7 +7470,7 @@ "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the radio options. Labels can include markdown as\ndescribed in the label parameter and will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null + "default": "." }, { "name": "index", @@ -105477,7 +7526,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "horizontal", @@ -105529,7 +7578,7 @@ "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null + "default": "." }, { "name": "value", @@ -105585,7 +7634,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -105623,7 +7672,7 @@ "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null + "default": "." }, { "name": "index", @@ -105686,7 +7735,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -105738,7 +7787,7 @@ "type_name": "a supported type or a tuple/list of supported types or None", "is_optional": false, "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" + "default": "min_value." }, { "name": "step", @@ -105794,7 +7843,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -105951,7 +8000,7 @@ "type_name": "list of strings", "is_optional": false, "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null + "default": "." } ], "returns": [ @@ -106069,7 +8118,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -106177,7 +8226,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -106257,7 +8306,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -106399,7 +8448,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the toggle if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -106537,7 +8586,7 @@ "type_name": "bool", "is_optional": false, "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" + "default": "False." } ], "returns": [], @@ -106630,7 +8679,7 @@ "type_name": "str, tuple, sequence of str, sequence of tuple, or None", "is_optional": false, "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For an area chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For an area chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "width", @@ -106736,7 +8785,7 @@ "type_name": "str, tuple, sequence of str, sequence of tuple, or None", "is_optional": false, "description": "

The color to use for different series in this chart. This argument\ncan only be supplied by keyword.

\n

For a bar chart with just 1 series, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto series of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby",\nthen those 1000 datapoints will be grouped into 3 series, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into 3 series, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a bar chart with multiple series, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe series in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "width", @@ -106847,7 +8896,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "use_container_width", @@ -106920,7 +8969,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the camera input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -107003,7 +9052,7 @@ "type_name": "bool", "is_optional": false, "description": "

Whether the chat input should be disabled. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "on_submit", @@ -107128,7 +9177,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the checkbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -107197,7 +9246,7 @@ "type_name": "str", "is_optional": false, "description": "

The hex value of this widget when it first renders. If None,\ndefaults to black.

\n", - "default": "black" + "default": "black." }, { "name": "key", @@ -107239,7 +9288,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the color picker if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -107331,7 +9380,7 @@ "type_name": "bool", "is_optional": false, "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "hide_index", @@ -107547,7 +9596,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the date input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -107665,7 +9714,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the download button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "use_container_width", @@ -107791,7 +9840,7 @@ "type_name": "bool", "is_optional": false, "description": "

If True, set the data editor width to the width of the parent container.\nThis takes precedence over the width argument. Defaults to False.

\n", - "default": "False" + "default": "False." }, { "name": "hide_index", @@ -107934,7 +9983,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the file uploader if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -107995,7 +10044,7 @@ "type_name": "str or None", "is_optional": false, "description": "

A tooltip that gets displayed when the button is hovered over.\nDefaults to None.

\n", - "default": "None" + "default": "None." }, { "name": "on_click", @@ -108030,7 +10079,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the button if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "use_container_width", @@ -108114,7 +10163,7 @@ }, "StatusContainer.help": { "name": "help", - "signature": "StatusContainer.help(obj=)", + "signature": "StatusContainer.help(obj=)", "example": "
\n

Don't remember how to initialize a dataframe? Try this:

\n
\nimport streamlit as st\nimport pandas\n\nst.help(pandas.DataFrame)\n
\n\n \n

Want to quickly check what data type is output by a certain function?\nTry:

\n
\nimport streamlit as st\n\nx = my_poorly_documented_function()\nst.help(x)\n
\n

Want to quickly inspect an object? No sweat:

\n
\nclass Dog:\n  '''A typical dog.'''\n\n  def __init__(self, breed, color):\n    self.breed = breed\n    self.color = color\n\n  def bark(self):\n    return 'Woof!'\n\n\nfido = Dog('poodle', 'white')\n\nst.help(fido)\n
\n\n \n

And if you're using Magic, you can get help for functions, classes,\nand modules without even typing st.help:

\n
\nimport streamlit as st\nimport pandas\n\n# Get help for Pandas read_csv:\npandas.read_csv\n\n# Get help for Streamlit itself:\nst\n
\n\n \n
\n", "description": "

Display help and other information for a given object.

\n

Depending on the type of object that is passed in, this displays the\nobject's name, type, value, signature, docstring, and member variables,\nmethods \u2014 as well as the values/docstring of members and methods.

\n", "args": [ @@ -108129,10 +10178,7 @@ "returns": [], "source": "https://github.com/streamlit/streamlit/blob/1.26.0/lib/streamlit/elements/doc_string.py#L48" }, - "StatusContainer.id": { - "name": "id", - "signature": "StatusContainer.id" - }, + "StatusContainer.id": { "name": "id", "signature": "StatusContainer.id" }, "StatusContainer.image": { "name": "image", "signature": "StatusContainer.image(image, caption=None, width=None, use_column_width=None, clamp=False, channels=\"RGB\", output_format=\"auto\")", @@ -108234,7 +10280,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean that allows the user to set whether the initial\nstate of this json element should be expanded. Defaults to True.\nThis argument can only be supplied by keyword.

\n", - "default": "True" + "default": "True." } ], "returns": [], @@ -108296,7 +10342,7 @@ "type_name": "str, tuple, sequence of str, sequence of tuple, or None", "is_optional": false, "description": "

The color to use for different lines in this chart. This argument\ncan only be supplied by keyword.

\n

For a line chart with just one line, this can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nlong format (that is, y is None or just one column), this can be:

\n
    \n

  • None, to use the default colors.

    \n
    • \n

  • The name of a column in the dataset. Data points will be grouped\ninto lines of the same color based on the value of this column.\nIn addition, if the values in this column match one of the color\nformats above (hex string or color tuple), then that color will\nbe used.

    \n

    For example: if the dataset has 1000 rows, but this column can\nonly contains the values "adult", "child", "baby", then\nthose 1000 datapoints will be grouped into three lines, whose\ncolors will be automatically selected from the default palette.

    \n

    But, if for the same 1000-row dataset, this column contained\nthe values "#ffaa00", "#f0f", "#0000ff", then then those 1000\ndatapoints would still be grouped into three lines, but their\ncolors would be "#ffaa00", "#f0f", "#0000ff" this time around.

    \n
    • \n
\n

For a line chart with multiple lines, where the dataframe is in\nwide format (that is, y is a sequence of columns), this can be:

\n
    \n
  • None, to use the default colors.
    • \n
  • A list of string colors or color tuples to be used for each of\nthe lines in the chart. This list should have the same length\nas the number of y values (e.g. color=["#fd0", "#f0f", "#04f"]\nfor three lines).
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "width", @@ -108355,14 +10401,14 @@ "type_name": "str or tuple or None", "is_optional": false, "description": "

The color of the circles representing each datapoint. This argument\ncan only be supplied by keyword.

\n

Can be:

\n
    \n
  • None, to use the default color.
    • \n
  • A hex string like "#ffaa00" or "#ffaa0088".
    • \n
  • An RGB or RGBA tuple with the red, green, blue, and alpha\ncomponents specified as ints from 0 to 255 or floats from 0.0 to\n1.0.
    • \n
  • The name of the column to use for the color. Cells in this column\nshould contain colors represented as a hex string or color tuple,\nas described above.
    • \n
\n", - "default": "color" + "default": "color." }, { "name": "size", "type_name": "str or float or None", "is_optional": false, "description": "

The size of the circles representing each point, in meters. This\nargument can only be supplied by keyword.

\n

This can be:

\n
    \n
  • None, to use the default size.
    • \n
  • A number like 100, to specify a single size to use for all\ndatapoints.
    • \n
  • The name of the column to use for the size. This allows each\ndatapoint to be represented by a circle of a different size.
    • \n
\n", - "default": "size" + "default": "size." }, { "name": "zoom", @@ -108483,14 +10529,14 @@ "type_name": "Sequence[V], numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null + "default": "." }, { "name": "default", "type_name": "[V], V, or None", "is_optional": false, "description": "

List of default values. Can also be a single value.

\n", - "default": "values" + "default": "values." }, { "name": "format_func", @@ -108553,7 +10599,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the multiselect widget if set\nto True. The default is False. This argument can only be supplied\nby keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -108575,7 +10621,7 @@ }, "StatusContainer.number_input": { "name": "number_input", - "signature": "StatusContainer.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", + "signature": "StatusContainer.number_input(label, min_value=None, max_value=None, value=, step=None, format=None, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False, label_visibility=\"visible\")", "example": "
\n
\nimport streamlit as st\n\nnumber = st.number_input('Insert a number')\nst.write('The current number is ', number)\n
\n\n \n
\n", "description": "

Display a numeric input widget.

\n
\n

Note

\n

Integer values exceeding +/- (1<<53) - 1 cannot be accurately\nstored or returned by the widget due to serialization contstraints\nbetween the Python server and JavaScript client. You must handle\nsuch numbers as floats, leading to a loss in precision.

\n
\n", "args": [ @@ -108661,7 +10707,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the number input if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -108831,7 +10877,7 @@ "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the radio options. Labels can include markdown as\ndescribed in the label parameter and will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null + "default": "." }, { "name": "index", @@ -108887,7 +10933,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the radio button if set to\nTrue. The default is False. This argument can only be supplied by\nkeyword.

\n", - "default": "False" + "default": "False." }, { "name": "horizontal", @@ -108939,7 +10985,7 @@ "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the slider options. All options will be cast to str\ninternally by default. For pandas.DataFrame, the first column is\nselected.

\n", - "default": null + "default": "." }, { "name": "value", @@ -108995,7 +11041,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the select slider if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -109033,7 +11079,7 @@ "type_name": "Sequence, numpy.ndarray, pandas.Series, pandas.DataFrame, or pandas.Index", "is_optional": false, "description": "

Labels for the select options. This will be cast to str internally\nby default. For pandas.DataFrame, the first column is selected.

\n", - "default": null + "default": "." }, { "name": "index", @@ -109096,7 +11142,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the selectbox if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -109148,7 +11194,7 @@ "type_name": "a supported type or a tuple/list of supported types or None", "is_optional": false, "description": "

The value of the slider when it first renders. If a tuple/list\nof two values is passed here, then a range slider with those lower\nand upper bounds is rendered. For example, if set to (1, 10) the\nslider will have a selectable range between 1 and 10.\nDefaults to min_value.

\n", - "default": "min_value" + "default": "min_value." }, { "name": "step", @@ -109204,7 +11250,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the slider if set to True. The\ndefault is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -109361,7 +11407,7 @@ "type_name": "list of strings", "is_optional": false, "description": "

Creates a tab for each string in the list. The first tab is selected by default.\nThe string is used as the name of the tab and can optionally contain Markdown,\nsupporting the following elements: Bold, Italics, Strikethroughs, Inline Code,\nEmojis, and Links.

\n

This also supports:

\n
    \n
  • Emoji shortcodes, such as :+1: and :sunglasses:.\nFor a list of all supported codes,\nsee https://share.streamlit.io/streamlit/emoji-shortcodes.
    • \n
  • LaTeX expressions, by wrapping them in "$" or "$$" (the "$$"\nmust be on their own lines). Supported LaTeX functions are listed\nat https://katex.org/docs/supported.html.
    • \n
  • Colored text, using the syntax :color[text to be colored],\nwhere color needs to be replaced with any of the following\nsupported colors: blue, green, orange, red, violet, gray/grey, rainbow.
    • \n
\n

Unsupported elements are unwrapped so only their children (text contents) render.\nDisplay unsupported elements as literal characters by\nbackslash-escaping them. E.g. 1\\. Not an ordered list.

\n", - "default": null + "default": "." } ], "returns": [ @@ -109479,7 +11525,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the text area if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -109587,7 +11633,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the text input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -109667,7 +11713,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the time input if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -109809,7 +11855,7 @@ "type_name": "bool", "is_optional": false, "description": "

An optional boolean, which disables the toggle if set to True.\nThe default is False. This argument can only be supplied by keyword.

\n", - "default": "False" + "default": "False." }, { "name": "label_visibility", @@ -109977,7 +12023,7 @@ "type_name": "bool", "is_optional": false, "description": "

This is a keyword-only argument that defaults to False.

\n

By default, any HTML tags found in strings will be escaped and\ntherefore treated as pure text. This behavior may be turned off by\nsetting this argument to True.

\n

That said, we strongly advise against it. It is hard to write secure\nHTML, so by using this argument you may be compromising your users'\nsecurity. For more information, see:

\n

https://github.com/streamlit/streamlit/issues/152

\n", - "default": "False" + "default": "False." } ], "returns": [], From f9dab7053867e8fc29af19d13e2b4223c00124c0 Mon Sep 17 00:00:00 2001 From: Debbie Matthews Date: Wed, 23 Aug 2023 03:42:35 -0700 Subject: [PATCH 3/5] Feature/enable deploy button (#787) * Add deployment button gif * Move deploy button in app menu docs * Update image borders in app-menu.md * Sync streamlit.json with release branch --------- Co-authored-by: snehankekre --- content/library/advanced-features/app-menu.md | 24 +- public/images/app-menu/app-menu-about-XL.png | Bin 40355 -> 33240 bytes public/images/app-menu/app-menu-clear-XL.png | Bin 40505 -> 35800 bytes public/images/app-menu/app-menu-deploy-1.png | Bin 0 -> 129096 bytes public/images/app-menu/app-menu-deploy-XL.png | Bin 42289 -> 0 bytes public/images/app-menu/app-menu-deploy.png | Bin 0 -> 48206 bytes public/images/app-menu/app-menu-developer.png | Bin 83094 -> 77276 bytes public/images/app-menu/app-menu-print-XL.png | Bin 39903 -> 32682 bytes public/images/app-menu/app-menu-record-2.png | Bin 110745 -> 113019 bytes public/images/app-menu/app-menu-record-3.png | Bin 189840 -> 191597 bytes public/images/app-menu/app-menu-record-4.png | Bin 189484 -> 190647 bytes public/images/app-menu/app-menu-record-5.png | Bin 97383 -> 100557 bytes public/images/app-menu/app-menu-record-6.png | Bin 131953 -> 128853 bytes public/images/app-menu/app-menu-record-XL.png | Bin 40108 -> 32893 bytes public/images/app-menu/app-menu-record.gif | Bin 4616177 -> 4890256 bytes public/images/app-menu/app-menu-rerun-XL.png | Bin 40002 -> 32792 bytes .../images/app-menu/app-menu-settings-XL.png | Bin 40112 -> 32901 bytes .../app-menu/app-menu-settings-modal.png | Bin 98214 -> 100439 bytes .../app-menu/app-menu-settings-theme.png | Bin 132101 -> 134480 bytes public/images/app-menu/deploy-from-local.gif | Bin 0 -> 11153517 bytes python/streamlit.json | 12037 ++++++++++++++++ 21 files changed, 12057 insertions(+), 4 deletions(-) create mode 100644 public/images/app-menu/app-menu-deploy-1.png delete mode 100644 public/images/app-menu/app-menu-deploy-XL.png create mode 100644 public/images/app-menu/app-menu-deploy.png create mode 100644 public/images/app-menu/deploy-from-local.gif diff --git a/content/library/advanced-features/app-menu.md b/content/library/advanced-features/app-menu.md index 56abd006f..9b20dc234 100644 --- a/content/library/advanced-features/app-menu.md +++ b/content/library/advanced-features/app-menu.md @@ -3,7 +3,7 @@ title: ⋮ App menu slug: /library/advanced-features/app-menu --- -# ⋮ App menu +# more_vert App menu Streamlit provides a configurable menu within your app to access convenient tools for developers and viewers. By default, you can access developer options from the app menu when viewing an app locally or on Streamlit Community Cloud while logged into an account with administrative access. While viewing an app, click the icon in the upper-right corner to access the menu. @@ -123,10 +123,26 @@ Reset your app's cache by clicking "**Clear cache**" from the app's menu or by p ### Deploy this app -If you are running an app locally from within a git repo, you can deploy your app to Streamlit Community Cloud in a few easy clicks! Make sure your work has been pushed to your online GitHub repository before beginning. For the greatest convenience, make sure you have already created your [Community Cloud account](/streamlit-community-cloud/get-started/create-your-account) and are signed in. Click "**Deploy this app**" to be taken directly to Community Cloud's "Deploy an app" page. Your app's repository, branch, and file name will be prefilled to match your current app! Learn more about [deploying an app](/streamlit-community-cloud/deploy-your-app) on Streamlit Community Cloud. +If you are running an app locally from within a git repo, you can deploy your app to Streamlit Community Cloud in a few easy clicks! Make sure your work has been pushed to your online GitHub repository before beginning. For the greatest convenience, make sure you have already created your [Community Cloud account](/streamlit-community-cloud/get-started/create-your-account) and are signed in. -
- Rerun +1. Click "**Deploy**" next to the app menu icon (more_vert). + +
+ Settings +
+ +2. Click "**Deploy now**". + +
+ Settings +
+ +3. You will be taken to Community Cloud's "Deploy an app" page. Your app's repository, branch, and file name will be prefilled to match your current app! Learn more about [deploying an app](/streamlit-community-cloud/deploy-your-app) on Streamlit Community Cloud. + +The whole process looks like this: + +
+ Settings
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